SF Bay Microplastics Risk Characterization
Scott Coffin
12/15/2021
library(tidyverse)
library(calecopal)
library(ssdtools)
library(DT)
library(plotly)
library(gridExtra)
library(grid)
library(wesanderson)
library(ggdark)
library(broom)
library(knitr)
library(ggdark)
library(viridis)
library(ggpubr)
library(ggsci)
library(stringr)
library(skimr)
library(ggpmisc)
library(collapsibleTree)
library(gamlss)
library(gamlss.dist)
library(gamlss.add)
library(mixtools)
library(msm)1 Hazard Concentration and Alignment Parameters
set.seed(1234) #reproducibility
###### Choose concentration alignment parameters####
alpha.stormwater <- 1.87
alpha.stormwater.sd <- 0.13
alpha.stormwater.n <- 22
alpha.marine <- 2.00 #based on SFEI dataset
alpha.marine.sd <- 0.15 #based on SFEI dataset
alpha.marine.n <- 23
#alpha.marine.rsd <- alpha.marine.se / alpha.marine
alpha.wastewater <- 1.58
alpha.wastewater.sd <- 0.11
alpha.wastewater.n <- 20
alpha.sediment <- 2.10
alpha.sediment.sd <- 0.12
alpha.sediment.n <- 17
alpha.fish <- 1.75
alpha.fish.sd <- 0.17
alpha.fish.n <- 15
#based on Kooi
alpha.freshwater = 2.64 #table s4 from Kooi et al 2021 for freshwater surface water. length
x2D_set = 5000 #100 #upper size range (microns)
x1D_set = 1 #1 #lower size range (microns)
#### Choose assessment factor (default = 1) ####
AF = 1
##### Choose hazard concentration and confidence intervals####
#particles/L
Threshold1 = 0.34 / AF
Threshold2 = 5.2 / AF
Threshold3 = 21.8 / AF
Threshold4 = 89.9 / AF
##### Food dilution thresholds (particles/L aligned to 1-5,000 um) ####
Threshold1_food = 0.34 / AF
Threshold2_food = 3.0 / AF
Threshold3_food = 5.0 / AF
Threshold4_food = 34 / AF
## 95% CI's ##
Threshold2_food_lcl = 0.34 / AF
Threshold2_food_hcl = 66 / AF
Threshold3_food_lcl = 0.4 / AF
Threshold3_food_hcl = 220 / AF
Threshold4_food_lcl = 2.5 / AF
Threshold4_food_hcl = 860 / AF
#Oxidative stress thresholds (particles/L aligned to 1-5,000 um)
Threshold1_oxidative.stress = 60 / AF
Threshold2_oxidative.stress = 320 / AF
Threshold3_oxidative.stress = 890 / AF
Threshold4_oxidative.stress = 4100 / AF# print table
kable(data.frame(
Category = c("Hazard Concentrations (particles/L)"),
"Threshold1" = Threshold1,
"Threshold 2" = Threshold2,
"Threshold 3" = Threshold3,
"Threshold 4" = Threshold4))| Category | Threshold1 | Threshold.2 | Threshold.3 | Threshold.4 |
|---|---|---|---|---|
| Hazard Concentrations (particles/L) | 0.34 | 5.2 | 21.8 | 89.9 |
#print table of sizes
kable(data.frame(
Category = c("Concentration Alignment Parameters"),
"Marine Alpha" = alpha.marine,
"Freshwater Alpha" = alpha.freshwater,
"lower_size_range_microns" = x1D_set,
"upper_size_range_microns" = x2D_set))| Category | Marine.Alpha | Freshwater.Alpha | lower_size_range_microns | upper_size_range_microns |
|---|---|---|---|---|
| Concentration Alignment Parameters | 2 | 2.64 | 1 | 5000 |
#function to derive correction factor (CF) from Koelmans et al (equation 2)
CFfnx = function(a = alpha, #default alpha from Koelmans et al (2020)
x2D = x2D_set, #set detault values to convert ranges to (1-5,000 um) #5mm is upper defuault
x1D = x1D_set, #1 um is lower default size
x2M, x1M){
CF = (x2D^(1-a)-x1D^(1-a))/(x2M^(1-a)-x1M^(1-a))
return(CF)
}
#verify it works (expected answer is 40.37)
#CFfnx(x1M = 333, x2M = 5000)2 Data Preparation
To compare thresholds to concentrations observed in the environment, data from the following study is used:
Zhu, Xia, Keenan Munno, Jelena Grbic, Larissa Meghan Werbowski, Jacqueline Bikker, Annissa Ho, Edie Guo, et al. 2021. “Holistic Assessment of Microplastics and Other Anthropogenic Microdebris in an Urban Bay Sheds Light on Their Sources and Fate.” ACS ES&T Water, May, acsestwater.0c00292. https://doi.org/10.1021/acsestwater.0c00292.
2.1 Import
#data import
#SF bay data from Zhu et al (2021)
sfBay <- read.csv("data/SFBayData.csv", na.strings = "NA", stringsAsFactors = TRUE) %>%
rename(sampleID = ï..sampleID,
x1M = Min.particle.size.um,
x2M = Max.particle.size.um) %>%
mutate(Sample.Type = "sample") %>%
mutate(Sampling.apparatus = case_when(
Sampling.apparatus == "24-hr pipe" ~ "depth-integrated perisaltic pump",
TRUE ~ as.character(Sampling.apparatus)))2.2 Cleanup
2.2.1 Wet/Dry Annotation
…or we could annotate samples taken between November and March as wet and August-September as dry based on the reporting in this spreadsheet. The grab samples are also paired with the manta samples by ID, so we need to split and recombine lengthwise.
Sample #CB9-Manta-11 Jan 18 should be omitted due to non-representative nature (in tidal front) (looks like it’s already been removed?)
2.2.1.1 TRUE DATE MATCH
The following code only matches manta and grab that were collectyed on the same days.
#grab_with_dates <- read.csv("data/grab_with_dates.csv") %>%
# rename(sampleID_closestDate = ï..sampleID_closestDate) %>%
grab_with_dates <- readxl::read_excel("data/grab_with_dates.xlsx") %>%
rename(x1M = Min.particle.size.um,
x2M = Max.particle.size.um) %>%
mutate(Sample.Type = "sample")
# first replace the dash with space
grab_with_dates$newDates <- str_replace(grab_with_dates$Date_string,"-", " ")
#then concat the station code with date to get the sampleID
dates <- grab_with_dates %>%
mutate(sampleID = paste(Station.Code, newDates)) %>%
rename(grab_particles.L.blank.corrected = particles.L.blank.corrected) %>%
rename(x1M_grab = x1M,
x2M_grab = x2M)
#join with other dataset
true_matches <- full_join(sfBay %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
rename(manta_particles.L.blank.corrected = particles.L.blank.corrected,
x1M_manta = x1M,
x2M_manta = x2M,
latitude_manta = latitude,
longitude_manta = longitude),
dates,
by = "sampleID") %>%
dplyr::select(c(sampleID, latitude_grab, longitude_grab, latitude_manta, longitude_manta, Station.Code, manta_particles.L.blank.corrected, grab_particles.L.blank.corrected, x1M_grab, x2M_grab, x1M_manta, x2M_manta, match)) %>%
#annotate wet/dry
mutate(season = case_when(grepl("Nov|Dec|Jan|Feb|Mar", sampleID, ignore.case = TRUE) ~ "wet",
grepl("Aug|Sep", sampleID, ignore.case = TRUE) ~ "dry"))
#investiage matches
true_matches %>% skim()| Name | Piped data |
| Number of rows | 93 |
| Number of columns | 14 |
| _______________________ | |
| Column type frequency: | |
| character | 6 |
| factor | 2 |
| numeric | 6 |
| ________________________ | |
| Group variables | None |
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace |
|---|---|---|---|---|---|---|---|
| sampleID | 0 | 1.00 | 9 | 44 | 0 | 93 | 0 |
| latitude_grab | 44 | 0.53 | 4 | 8 | 0 | 48 | 0 |
| longitude_grab | 44 | 0.53 | 4 | 10 | 0 | 48 | 0 |
| Station.Code | 44 | 0.53 | 3 | 37 | 0 | 30 | 0 |
| match | 44 | 0.53 | 1 | 1 | 0 | 2 | 0 |
| season | 0 | 1.00 | 3 | 3 | 0 | 2 | 0 |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts |
|---|---|---|---|---|---|
| latitude_manta | 35 | 0.62 | FALSE | 35 | 37.: 4, 37.: 3, 37.: 3, 38.: 3 |
| longitude_manta | 35 | 0.62 | FALSE | 38 | -12: 4, -12: 3, -12: 3, -12: 3 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| manta_particles.L.blank.corrected | 35 | 0.62 | 0.00 | 0.01 | 0 | 0.00 | 0.00 | 0.00 | 0.06 | ▇▁▁▁▁ |
| grab_particles.L.blank.corrected | 44 | 0.53 | 4.81 | 6.03 | 0 | 1.81 | 2.83 | 5.09 | 35.70 | ▇▁▁▁▁ |
| x1M_grab | 44 | 0.53 | 50.00 | 0.00 | 50 | 50.00 | 50.00 | 50.00 | 50.00 | ▁▁▇▁▁ |
| x2M_grab | 44 | 0.53 | 5000.00 | 0.00 | 5000 | 5000.00 | 5000.00 | 5000.00 | 5000.00 | ▁▁▇▁▁ |
| x1M_manta | 35 | 0.62 | 333.00 | 0.00 | 333 | 333.00 | 333.00 | 333.00 | 333.00 | ▁▁▇▁▁ |
| x2M_manta | 35 | 0.62 | 5000.00 | 0.00 | 5000 | 5000.00 | 5000.00 | 5000.00 | 5000.00 | ▁▁▇▁▁ |
2.2.1.1.1 Match
#view matched data
my.formula <- y ~ x
match_plot_true_season <- true_matches %>%
drop_na(grab_particles.L.blank.corrected) %>%
filter(grab_particles.L.blank.corrected > 0) %>% #remove 0's that shouldn't belong
ggplot(aes(x = manta_particles.L.blank.corrected, y = grab_particles.L.blank.corrected, color = season))+
geom_point()+
geom_smooth(method = "lm", se=FALSE, formula = my.formula) +
stat_poly_eq(formula = my.formula,
aes(label = paste(..eq.label.., ..rr.label.., ..p.value.label.., sep = "~~~")),
parse = TRUE) +
scale_x_log10(name = "Manta Trawl blank-corrected particles/L",
breaks = scales::trans_breaks("log10", function(x) 10^x),
labels = scales::trans_format("log10", scales::math_format(10^.x))) +
scale_y_log10(name = "1L-grab blank-corrected particles/L") +
theme.type +
theme(legend.position = c(0.75,0.92),
legend.title = element_blank(),
legend.background = element_blank(),
legend.text = element_text(size = 12))
match_plot_true_overall <- true_matches %>%
drop_na(grab_particles.L.blank.corrected) %>%
filter(grab_particles.L.blank.corrected > 0) %>% #remove 0's that shouldn't belong
ggplot(aes(x = manta_particles.L.blank.corrected, y = grab_particles.L.blank.corrected))+
geom_point()+
geom_smooth(method = "lm", se=FALSE, formula = my.formula) +
stat_poly_eq(formula = my.formula,
aes(label = paste(..eq.label.., ..rr.label.., ..p.value.label.., sep = "~~~")),
parse = TRUE) +
scale_x_log10(name = "Manta Trawl blank-corrected particles/L",
breaks = scales::trans_breaks("log10", function(x) 10^x),
labels = scales::trans_format("log10", scales::math_format(10^.x))) +
scale_y_log10(name = "1L-grab blank-corrected particles/L") +
theme.type
ggarrange(match_plot_true_season, match_plot_true_overall)
2.2.1.2 CLOSEST DATE MATCH
The following code uses the nearest date to match manta and grab. In many cases, matches are one to several days apart.
2.2.1.2.1 Matched Manta and Grab
#remove grab samples that don't have dates
sfBay_noGrab <- sfBay %>%
filter(Sampling.apparatus != "1-L grab")
grab_with_dates_closest <- grab_with_dates %>%
dplyr::select(-c(Station.Code, newDates, particle_count, sample_volume_L, Date_string, match, needs_fixing)) %>%
rename("latitude" = "latitude_grab",
"longitude" = "longitude_grab")
#see matches
closestMatches <- full_join(sfBay_noGrab, grab_with_dates_closest %>%
rename("grab_particles.L.blank.corrected" = particles.L.blank.corrected,
"sampleID" = "sampleID_closestDate"),
by = c("sampleID")) %>%
#annotate wet/dry
mutate(season = case_when(grepl("Nov|Dec|Jan|Feb|Mar", sampleID, ignore.case = TRUE) ~ "wet",
grepl("Aug|Sep", sampleID, ignore.case = TRUE) ~ "dry"))
#view matched data
match_plot_closest_season <- closestMatches %>%
drop_na(grab_particles.L.blank.corrected) %>%
filter(grab_particles.L.blank.corrected > 0) %>% #remove 0's that shouldn't belong
ggplot(aes(x = particles.L.blank.corrected, y = grab_particles.L.blank.corrected, color = season))+
geom_point()+
geom_smooth(method = "lm", se=FALSE, formula = my.formula) +
stat_poly_eq(formula = my.formula,
aes(label = paste(..eq.label.., ..rr.label.., ..p.value.label.., sep = "~~~")),
parse = TRUE) +
scale_x_log10(name = "Manta Trawl blank-corrected particles/L",
breaks = scales::trans_breaks("log10", function(x) 10^x),
labels = scales::trans_format("log10", scales::math_format(10^.x))) +
scale_y_log10(name = "1L-grab blank-corrected particles/L") +
theme.type +
theme(legend.position = c(0.7,0.92),
legend.title = element_blank(),
legend.background = element_blank(),
legend.text = element_text(size = 12))
#view matched data overall
match_plot_closest <- closestMatches %>%
drop_na(grab_particles.L.blank.corrected) %>%
filter(grab_particles.L.blank.corrected > 0) %>% #remove 0's that shouldn't belong
ggplot(aes(x = particles.L.blank.corrected, y = grab_particles.L.blank.corrected))+
geom_point()+
geom_smooth(method = "lm", se=FALSE, formula = my.formula) +
stat_poly_eq(formula = my.formula,
aes(label = paste(..eq.label.., ..rr.label.., ..p.value.label.., sep = "~~~")),
parse = TRUE) +
scale_x_log10(name = "Manta Trawl blank-corrected particles/L",
breaks = scales::trans_breaks("log10", function(x) 10^x),
labels = scales::trans_format("log10", scales::math_format(10^.x))) +
scale_y_log10(name = "1L-grab blank-corrected particles/L") +
theme.type +
theme(legend.position = c(0.7,0.92),
legend.title = element_blank(),
#legend.background = element_rect(color = "black", fill = "white", linetype = "solid"),
legend.text = element_text(size = 12))
ggarrange(match_plot_closest_season,match_plot_closest)
match_plots <- ggarrange(match_plot_true_overall, #match_plot_true_season,
match_plot_closest, #match_plot_closest_season,
labels = c("A", "B"),#, "C", "D"),
ncol = 2,
nrow = 1)
match_plots
ggsave(plot = match_plots,
filename = "match_plots.jpeg",
path = "output/figures/",
width = 9, height = 5, units = "in",
bg = "white",
dpi = 300)2.3 Rbind
grab_with_dates_new <- grab_with_dates %>%
mutate(sampleID = paste(Station.Code, newDates, "grab")) %>%
dplyr::select(-c(Station.Code, newDates, particle_count, sample_volume_L, Date_string, match, needs_fixing, sampleID_closestDate)) %>%
rename("latitude" = "latitude_grab",
"longitude" = "longitude_grab")
#bind
sfBay2 <- rbind(sfBay_noGrab, grab_with_dates_new) %>%
#annotate wet/dry
mutate(season = case_when(grepl("Nov|Dec|Jan|Feb|Mar", sampleID, ignore.case = TRUE) ~ "wet",
grepl("Aug|Sep", sampleID, ignore.case = TRUE) ~ "dry"))2.4 Plastic particle correction
10 particles were analyzed for every color/morphology combo. 68% of particles analyzed by Raman/FTIR were plastic in surface water and 23% in fish samples were plastic.
Site-specific polymer percentages are reported in Table S18 of Zhu et al (2021) https://pubs.acs.org/doi/10.1021/acsestwater.0c00292?goto=supporting-info Data from this table were imported into excel and are used to correct for plastic percentages in locaiton-specific compartments below. ### Read in Data
#read in table S18
site_polymer_percentages <- readxl::read_excel("data/grab_with_dates.xlsx", sheet = "relative_abundances", na = "N/A") %>% mutate_if(is.character, as.factor)
#more granular particle data from CEDEN (for splitting manta and grab ONLY)
#SF bay data
particle.data <- readxl::read_xlsx("data/2020-09-08_MooreParticleData.xlsx")
particle.data.clean <- particle.data %>%
mutate_if(is.character, as.factor) %>%
mutate(Size_um = 1000 * Length.mm) %>%
#extract matrices
mutate(matrix = case_when(grepl("sediment", MatrixName) ~ "sediment",
grepl("runoff", MatrixName) ~ "runoff",
grepl("samplewater", MatrixName) ~ "samplewater",
grepl("tissue", MatrixName) ~ "tissue",
grepl("blankwater", MatrixName) ~ "blankwater",
grepl("effluent", MatrixName) ~ "effluent")) %>%
#remove duplicates
filter(!str_detect(SampleID, "DUP")) %>%
#annotate locations
mutate(site = case_when(
grepl("NB", SampleID,ignore.case = FALSE) ~ "North Bay",
grepl("CB", SampleID,ignore.case = FALSE) ~ "Central Bay",
grepl("SB10", SampleID,ignore.case = FALSE) ~ "South Bay",
grepl("SB11", SampleID,ignore.case = FALSE) ~ "South Bay",
grepl("SB12", SampleID,ignore.case = FALSE) ~ "South Bay",
grepl("SB13", SampleID,ignore.case = FALSE) ~ "South Bay",
grepl("LSB", SampleID,ignore.case = FALSE) ~ "Lower South Bay",
grepl("NMS", SampleID,ignore.case = FALSE) ~ "National Marine Sanctuary",
grepl("TB", SampleID,ignore.case = FALSE) ~ "Tomales Bay",
grepl("SC", SampleID,ignore.case = FALSE) ~ "general",
grepl("SUB", SampleID,ignore.case = FALSE) ~ "general",
grepl("SOSL", SampleID,ignore.case = FALSE) ~ "general",
grepl("SPB", SampleID,ignore.case = FALSE) ~ "general",
)) %>%
replace_na(list(site = "general")) %>%
droplevels()
manta.data <- particle.data.clean %>% filter(SampleMatrix == "manta")
#examine completeness of locations assignments
skim(manta.data)| Name | manta.data |
| Number of rows | 17079 |
| Number of columns | 11 |
| _______________________ | |
| Column type frequency: | |
| character | 2 |
| factor | 6 |
| numeric | 3 |
| ________________________ | |
| Group variables | None |
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace |
|---|---|---|---|---|---|---|---|
| matrix | 0 | 1 | 11 | 11 | 0 | 1 | 0 |
| site | 0 | 1 | 7 | 25 | 0 | 5 | 0 |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts |
|---|---|---|---|---|---|
| SampleMatrix | 0 | 1 | FALSE | 1 | man: 17079, eff: 0, fis: 0, sed: 0 |
| SampleID | 0 | 1 | FALSE | 67 | CB9: 4957, CB8: 2675, SB1: 877, SPB: 767 |
| PlasticType | 0 | 1 | FALSE | 39 | Not: 14630, Pol: 776, Pol: 368, Pol: 266 |
| MorphologicalCategory | 0 | 1 | FALSE | 6 | Fra: 7593, Fib: 6978, Foa: 1510, Fil: 481 |
| Color | 2 | 1 | FALSE | 17 | Whi: 4069, Cle: 3636, Bla: 2420, Blu: 2234 |
| MatrixName | 0 | 1 | FALSE | 5 | sam: 13178, sam: 1586, sam: 1180, sam: 1119 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| Length.mm | 11263 | 0.34 | 2.91 | 7.42 | 0.02 | 0.70 | 1.40 | 2.79 | 195 | ▇▁▁▁▁ |
| Width.mm | 11281 | 0.34 | 0.94 | 3.46 | 0.00 | 0.03 | 0.36 | 0.73 | 117 | ▇▁▁▁▁ |
| Size_um | 11263 | 0.34 | 2908.27 | 7420.60 | 19.00 | 703.00 | 1403.00 | 2794.25 | 195000 | ▇▁▁▁▁ |
2.4.0.1 Manta data summarize
#get total particle counts per area
site_counts <- manta.data %>%
filter(PlasticType != "Not Characterized") %>%
group_by(site) %>%
summarize(total = n())
site_counts## # A tibble: 5 x 2
## site total
## <chr> <int>
## 1 Central Bay 1371
## 2 general 177
## 3 Lower South Bay 217
## 4 National Marine Sanctuary 361
## 5 South Bay 323#get site-specific manta frequencies
manta.polymer.percentages <- manta.data %>%
filter(PlasticType != "Not Characterized") %>%
group_by(site, PlasticType) %>%
summarize(count = n()) %>%
left_join(site_counts, by = "site") %>%
mutate(freq = 100 * count / total) %>%
arrange(desc(freq)) %>%
# annotate polymer types
mutate(general = case_when(
grepl("Unknown", PlasticType, ignore.case = TRUE) ~ "unknown",
grepl("anthropogenic", PlasticType, ignore.case = TRUE) ~ "unknown",
grepl("natural", PlasticType, ignore.case = TRUE) ~ "natural",
PlasticType == "Non-Synthetic Fiber (cotton, silk, wool)" ~ "natural",
PlasticType == "Wool" ~ "natural",
PlasticType == "Cotton" ~ "natural",
PlasticType == "Cellulosic" ~ "natural",
PlasticType == "Glass" ~ "anthropogenic (not plastic)",
PlasticType == "Asphalt" ~ "anthropogenic (not plastic)",
PlasticType == "Not Characterized" ~ "Not Characterized"
)) %>%
replace_na(list(general = "plastic"))
manta.polymer.percentages## # A tibble: 131 x 6
## # Groups: site [5]
## site PlasticType count total freq general
## <chr> <fct> <int> <int> <dbl> <chr>
## 1 Lower South Bay Polyethylene 93 217 42.9 plastic
## 2 Central Bay Polyethylene 453 1371 33.0 plastic
## 3 general Polyethylene 49 177 27.7 plastic
## 4 Lower South Bay Polypropylene 60 217 27.6 plastic
## 5 South Bay Polyethylene 89 323 27.6 plastic
## 6 National Marine Sanctuary Polyethylene 92 361 25.5 plastic
## 7 Central Bay Polypropylene 227 1371 16.6 plastic
## 8 Central Bay Polystyrene 201 1371 14.7 plastic
## 9 South Bay Polyester 42 323 13.0 plastic
## 10 general Polyester 19 177 10.7 plastic
## # ... with 121 more rows2.4.0.2 ANOVA to determine site-specific differences
manta.data.annotated <- manta.data %>%
filter(!grepl("blank", SampleID, ignore.case = TRUE)) %>% #remove blanks
# annotate polymer types
mutate(general = case_when(
grepl("Unknown", PlasticType, ignore.case = TRUE) ~ "unknown",
grepl("anthropogenic", PlasticType, ignore.case = TRUE) ~ "unknown",
grepl("natural", PlasticType, ignore.case = TRUE) ~ "natural",
PlasticType == "Non-Synthetic Fiber (cotton, silk, wool)" ~ "natural",
PlasticType == "Wool" ~ "natural",
PlasticType == "Cotton" ~ "natural",
PlasticType == "Cellulosic" ~ "natural",
PlasticType == "Glass" ~ "anthropogenic (not plastic)",
PlasticType == "Asphalt" ~ "anthropogenic (not plastic)",
PlasticType == "Not Characterized" ~ "Not Characterized"
)) %>%
replace_na(list(general = "plastic")) %>%
filter(PlasticType != "Not Characterized")
#get total IDed particle counts for each sample
manta.total.particles.sample <- manta.data.annotated %>%
group_by(SampleID) %>%
summarize(total.particles = n())
#get plastic particle count per sample (for ANOVA)
manta.sample.plastic.percentages <- manta.data.annotated %>%
filter(general == "plastic") %>%
group_by(SampleID, site) %>%
summarize(plastic.particles = n()) %>%
#join with total particle count
left_join(manta.total.particles.sample, by = "SampleID") %>%
mutate(freq = 100 * plastic.particles / total.particles)
#summarize for barploy
manta.site.plastic.percentages <- manta.sample.plastic.percentages %>%
filter(total.particles > 1) %>%
#get mean, SD, and N for plastic percentages within each location
group_by(site) %>%
summarize(ave.proportion = mean(freq), sd.proportion = sd(freq), n.samples = n()) %>%
mutate(se.proportion = sd.proportion / sqrt(n.samples))
manta.site.plastic.percentages## # A tibble: 5 x 5
## site ave.proportion sd.proportion n.samples se.proportion
## <chr> <dbl> <dbl> <int> <dbl>
## 1 Central Bay 68.8 21.1 19 4.84
## 2 general 63.4 29.7 7 11.2
## 3 Lower South Bay 90.6 9.91 6 4.04
## 4 National Marine Sanctuary 72.5 28.0 18 6.60
## 5 South Bay 81.0 14.1 8 4.98write.csv(manta.site.plastic.percentages,
"output/data/manta.site.plastic.percentages.csv")2.4.0.2.1 GRAPH
manta.site.plastic.percentages.graph <- manta.site.plastic.percentages %>%
mutate(site_factor = fct_reorder(site, ave.proportion)) %>%
ggplot(aes(x = ave.proportion, y = site_factor, fill = site_factor)) +
geom_col() +
geom_errorbarh(aes(xmax = ave.proportion + se.proportion, xmin = ave.proportion - se.proportion),
height = 0.6) +
scale_x_continuous(name = "Plastic % of Sub-Sampled Particles (mean +- SE)",
limits = c(0,100),
labels = scales::percent_format(scale = 1)) +
scale_fill_uchicago() +
scale_y_discrete(labels = c("Miscellanious other \n locations",
"National Marine \n Sanctuary",
"Central Bay",
"South Bay",
"Lower South Bay" )) +
theme.type +
theme(legend.position = "none",
axis.title.y = element_blank())
manta.site.plastic.percentages.graph
ggsave(plot = manta.site.plastic.percentages.graph,
filename = "manta.site.plastic.percentages.graph.jpeg",
path = "output/figures/",
width = 7, height = 5, units = "in",
bg = "white",
dpi = 300)2.4.0.2.2 ANOVA
2.4.0.2.2.1 Locations
One-way anova for manta plastic proportion data between sites.
summary(aov(freq ~ site,
data = manta.sample.plastic.percentages))## Df Sum Sq Mean Sq F value Pr(>F)
## site 4 3362 840.6 1.563 0.198
## Residuals 53 28497 537.7Because the one-way anova is not significant, plastic particle proportion corrections should be applied generically instead of on a site-specific basis.
2.4.0.3 Plastic percentages for manta
manta.general.percentages <- manta.polymer.percentages %>%
group_by(general, site) %>%
summarize(proportion.manta = sum(freq))
manta.general.percentages## # A tibble: 18 x 3
## # Groups: general [4]
## general site proportion.manta
## <chr> <chr> <dbl>
## 1 anthropogenic (not plastic) Central Bay 0.219
## 2 anthropogenic (not plastic) National Marine Sanctuary 0.277
## 3 anthropogenic (not plastic) South Bay 0.310
## 4 natural Central Bay 12.3
## 5 natural general 14.7
## 6 natural Lower South Bay 2.30
## 7 natural National Marine Sanctuary 16.9
## 8 natural South Bay 6.81
## 9 plastic Central Bay 79.5
## 10 plastic general 63.3
## 11 plastic Lower South Bay 93.1
## 12 plastic National Marine Sanctuary 65.1
## 13 plastic South Bay 77.7
## 14 unknown Central Bay 7.95
## 15 unknown general 22.0
## 16 unknown Lower South Bay 4.61
## 17 unknown National Marine Sanctuary 17.7
## 18 unknown South Bay 15.22.4.1 PLASTIC CORRECTION
#long-wise
long_polymer <- site_polymer_percentages %>%
pivot_longer(-c(Sample.Type, Polymer), names_to = "location", values_to = "proportion") %>%
drop_na()
#ensure adds up to 100%
long_polymer %>%
group_by(location, Sample.Type) %>%
summarize(sum(proportion))## # A tibble: 21 x 3
## # Groups: location [6]
## location Sample.Type `sum(proportion)`
## <chr> <fct> <dbl>
## 1 CentralBay Fish 101
## 2 CentralBay Sediment 103
## 3 CentralBay Storm 101
## 4 CentralBay Surface 99
## 5 CentralBay WWTP 100
## 6 LowerSouthBay Fish 99
## 7 LowerSouthBay Sediment 100
## 8 LowerSouthBay Storm 102
## 9 LowerSouthBay Surface 100
## 10 LowerSouthBay WWTP 99
## # ... with 11 more rows#### Join with manta data
manta.polymer.simple <- manta.polymer.percentages %>%
mutate(Sample.Type = "Surface (Manta Trawl)") %>%
rename(location = site,
Polymer = PlasticType,
proportion = freq) %>%
dplyr::select(c(Sample.Type, Polymer, location, proportion))
#full dataframe
polymer_site_matrices <- rbind(long_polymer, manta.polymer.simple) %>%
#dplyr::select(-c(general)) %>%
mutate(Sample.Type = case_when(Sample.Type == "Surface" ~ "Surface (1L-grab)",
TRUE ~ as.character(Sample.Type))) %>%
mutate(Polymer = case_when(
Polymer == "PP" ~ "Polypropylene",
Polymer == "PU" ~ "Polyurethane",
Polymer == "PVC" ~ "Polyvinyl chloride",
Polymer == "PTFE" ~ "Polytetrafluoroethylene",
Polymer == "PS" ~ "Polystyrene",
Polymer == "PE" ~ "Polyethylene",
Polymer == "ABS" ~ "Acrylonitrile butadiene styrene",
Polymer == "Acrylic, acrylate" ~ "Acrylic",
Polymer == "Cotton" ~ "Non-Synthetic Fiber (cotton, silk, wool)",
Polymer == "Wool" ~ "Non-Synthetic Fiber (cotton, silk, wool)",
Polymer == "Asphalt" ~ "Other anthropogenic (asphalt, wax)",
Polymer == "Other anthropogenic (asphalt, rubber, paint, wax)" ~ "Other anthropogenic (asphalt, wax)",
Polymer == "Stearates, Lubricants, Waxes" ~ "Stearates, Lubricants",
TRUE ~ as.character(Polymer)
)) %>%
#reclassigy upper level
mutate(general = case_when(
grepl("Unknown", Polymer, ignore.case = TRUE) ~ "unknown",
grepl("anthropogenic", Polymer, ignore.case = TRUE) ~ "anthropogenic (not plastic)",
grepl("natural", Polymer, ignore.case = TRUE) ~ "natural",
Polymer == "Non-Synthetic Fiber (cotton, silk, wool)" ~ "natural",
Polymer == "Wool" ~ "natural",
Polymer == "Cotton" ~ "natural",
Polymer == "Cellulosic" ~ "natural",
Polymer == "Glass" ~ "anthropogenic (not plastic)",
Polymer == "Asphalt" ~ "anthropogenic (not plastic)",
Polymer == "Not Characterized" ~ "Not Characterized",
Polymer == "Stearates, Lubricants" ~ "anthropogenic (not plastic)"
)) %>%
replace_na(list(general = "plastic"))
levels(factor(polymer_site_matrices$Polymer))## [1] "Acrylic"
## [2] "Acrylonitrile butadiene styrene"
## [3] "Anthropogenic (cellulosic)"
## [4] "Anthropogenic (protein base)"
## [5] "Anthropogenic (synthetic)"
## [6] "Anthropogenic (unknown base)"
## [7] "Cellulose acetate"
## [8] "Cellulosic"
## [9] "Copolymers"
## [10] "Dimethylpolysiloxane"
## [11] "Ethylene/vinyl acetate copolymer"
## [12] "Glass"
## [13] "Inorganic natural material"
## [14] "Natural material (pumice, gelatin foam, starch)"
## [15] "No signal, unknown, poor spectra, unmatchable"
## [16] "Non-Synthetic Fiber (cotton, silk, wool)"
## [17] "Nylon"
## [18] "Organic natural material"
## [19] "Other anthropogenic (asphalt, wax)"
## [20] "Other plastics"
## [21] "Paint"
## [22] "Polyamide"
## [23] "Polycaprolactone"
## [24] "Polycarbonate"
## [25] "Polyester"
## [26] "Polyethylene"
## [27] "Polyethylene co-acrylic acid"
## [28] "Polyethylene terephthalate"
## [29] "Polyethylene/polypropylene copolymer"
## [30] "Polypropylene"
## [31] "Polystyrene"
## [32] "Polystyrene/acrylic copolymer"
## [33] "Polytetrafluoroethylene"
## [34] "Polyurethane"
## [35] "Polyvinyl acetate"
## [36] "Polyvinyl alcohol"
## [37] "Polyvinyl chloride"
## [38] "Rayon"
## [39] "Rubber"
## [40] "SEBS"
## [41] "Silicone"
## [42] "Stearates, Lubricants"
## [43] "Styrene copolymer"
## [44] "Unknown"
## [45] "Unknown Potentially Rubber"polymer_site_matrices ## # A tibble: 656 x 5
## Sample.Type Polymer location proportion general
## <chr> <chr> <chr> <dbl> <chr>
## 1 Surface (1L-grab) Acrylonitrile butadiene styrene NorthBay 0 plastic
## 2 Surface (1L-grab) Acrylonitrile butadiene styrene Central~ 0 plastic
## 3 Surface (1L-grab) Acrylonitrile butadiene styrene SouthBay 0 plastic
## 4 Surface (1L-grab) Acrylonitrile butadiene styrene LowerSo~ 0 plastic
## 5 Surface (1L-grab) Acrylonitrile butadiene styrene NMS 0 plastic
## 6 Surface (1L-grab) Acrylic NorthBay 1 plastic
## 7 Surface (1L-grab) Acrylic Central~ 1 plastic
## 8 Surface (1L-grab) Acrylic SouthBay 6 plastic
## 9 Surface (1L-grab) Acrylic LowerSo~ 0 plastic
## 10 Surface (1L-grab) Acrylic NMS 3 plastic
## # ... with 646 more rows#summarize
summary_proportions <- polymer_site_matrices %>%
group_by(general, location, Sample.Type) %>%
summarize(freq_total = sum(proportion))
summary_proportions %>% DT::datatable()Collapse further to obtain plastic percentages by matrix x location
#recode
plastic_proportions <- summary_proportions %>%
filter(general == "plastic") %>%
mutate(proportion = freq_total/100) %>%
mutate(location_fix = case_when(
location == "CentralBay" ~ "Central Bay",
location == "LowerSouthBay" ~ "Lower South Bay",
location == "NMS" ~ "National Marine Sanctuary",
location == "NorthBay" ~ "North Bay",
location == "SouthBay" ~ "South Bay",
location == "TomalesBay" ~ "Tomales Bay",
location == "Central Bay" ~ "Central Bay",
location == "Lower South Bay" ~ "Lower South Bay",
location == "National Marine Sanctuary" ~ "National Marine Sanctuary",
location == "North Bay" ~ "North Bay",
location == "South Bay" ~ "South Bay",
location == "Tomales Bay" ~ "Tomales Bay")) %>%
replace_na(list(location_fix = "general")) %>%
mutate(locationMatrix = paste(location_fix, Sample.Type)) %>%
ungroup()
#view
plastic_proportions## # A tibble: 26 x 7
## general location Sample.Type freq_total proportion location_fix
## <chr> <chr> <chr> <dbl> <dbl> <chr>
## 1 plastic Central Bay Surface (Manta T~ 78.3 0.783 Central Bay
## 2 plastic CentralBay Fish 21 0.21 Central Bay
## 3 plastic CentralBay Sediment 44 0.44 Central Bay
## 4 plastic CentralBay Storm 36 0.36 Central Bay
## 5 plastic CentralBay Surface (1L-grab) 62 0.62 Central Bay
## 6 plastic CentralBay WWTP 36 0.36 Central Bay
## 7 plastic general Surface (Manta T~ 58.8 0.588 general
## 8 plastic Lower South Bay Surface (Manta T~ 92.6 0.926 Lower South ~
## 9 plastic LowerSouthBay Fish 15 0.15 Lower South ~
## 10 plastic LowerSouthBay Sediment 50 0.5 Lower South ~
## # ... with 16 more rows, and 1 more variable: locationMatrix <chr>2.4.1.1 Site-specific Polymer Proportion Figure
propotion_heatmap <- plastic_proportions %>%
dplyr::select(c(location_fix, proportion, Sample.Type)) %>%
#filter(location_fix %in% c("Central Bay", "Lower South Bay")) %>%
ggplot(aes(y = location_fix, x = Sample.Type, fill = proportion)) +
geom_tile() +
scale_fill_viridis(name = "%Plastic of Sub-Sampled Particles",
discrete = FALSE,
limits = c(0,1),
labels = scales::percent_format(scale = 100)) +
ylab("Location in SF Bay") +
xlab("Compartment") +
theme.type +
theme(legend.position = "bottom",
axis.title.x = element_blank(),
axis.title.y = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
legend.key.size = unit(1, 'cm'))
propotion_heatmap
2.4.1.2 General proportions
Polymer percentages are not available for all locations, so general proportions must be derived
general_proportions <- plastic_proportions %>%
group_by(Sample.Type) %>%
summarize(ave.prop = mean(proportion), sd.prop = sd(proportion), n.prop = n())
general_proportions## # A tibble: 6 x 4
## Sample.Type ave.prop sd.prop n.prop
## <chr> <dbl> <dbl> <int>
## 1 Fish 0.178 0.0443 4
## 2 Sediment 0.38 0.121 5
## 3 Storm 0.468 0.115 4
## 4 Surface (1L-grab) 0.49 0.175 5
## 5 Surface (Manta Trawl) 0.743 0.132 5
## 6 WWTP 0.283 0.0681 3general_proportions_graph <- general_proportions %>%
ggplot(aes(x = ave.prop, y = Sample.Type, fill = Sample.Type)) +
geom_col() +
geom_errorbarh(aes(xmax = ave.prop + (sd.prop / sqrt(n.prop)), xmin = ave.prop -(sd.prop / sqrt(n.prop))),
height = 0.6) +
scale_x_continuous(name = "Plastic % of Sub-Sampled Particles (mean +- SE)",
limits = c(0,1),
labels = scales::percent_format(scale = 100)) +
scale_fill_futurama() +
theme.type +
theme(legend.position = "none",
axis.title.y = element_blank())
general_proportions_graph
proportions_arranged <- ggarrange(general_proportions_graph,
propotion_heatmap,
labels = c("A", "B"),
ncol = 1,
nrow = 2)
proportions_arranged
ggsave(plot = proportions_arranged,
filename = "proportions_arranged.jpeg",
path = "output/figures/",
width = 12, height = 9, units = "in",
bg = "white",
dpi = 300)2.4.1.3 Export table
final_proportions <- rbind(plastic_proportions %>%
dplyr::select(c(locationMatrix, proportion)),
general_proportions %>%
mutate(locationMatrix = paste("general", Sample.Type)) %>%
rename(proportion = ave.prop) %>%
dplyr::select(c(locationMatrix, proportion)))
#final_proportions
## export pretty table
pretty_proportions <- left_join(final_proportions, plastic_proportions, by = "locationMatrix") %>%
dplyr::select(c(Sample.Type, location_fix, proportion.x)) %>%
replace_na(list(location_fix = "general")) %>%
pivot_wider(names_from = location_fix, values_from = proportion.x, values_fn = list) %>%
unnest(cols = everything())
pretty_proportions## # A tibble: 12 x 8
## Sample.Type `Central Bay` general `Lower South Ba~ `National Marin~
## <chr> <dbl> <dbl> <dbl> <dbl>
## 1 Surface (Manta Trawl) 0.783 0.588 0.926 0.645
## 2 Surface (Manta Trawl) 0.783 0.743 0.926 0.645
## 3 Fish 0.21 NA 0.15 NA
## 4 Sediment 0.44 NA 0.5 NA
## 5 Storm 0.36 NA 0.63 NA
## 6 Surface (1L-grab) 0.62 NA 0.72 0.34
## 7 WWTP 0.36 NA 0.23 NA
## 8 <NA> NA 0.178 NA NA
## 9 <NA> NA 0.38 NA NA
## 10 <NA> NA 0.468 NA NA
## 11 <NA> NA 0.49 NA NA
## 12 <NA> NA 0.283 NA NA
## # ... with 3 more variables: North Bay <dbl>, South Bay <dbl>,
## # Tomales Bay <dbl>write.csv(pretty_proportions,
"output/data/final_plastic_proportion.csv"
)2.4.2 One-Way ANOVA on Matrices
One-way ANOVA for plastic percentage of total particles between matrices
particle.data.annotated <- particle.data.clean %>%
# annotate polymer types
mutate(general = case_when(
grepl("Unknown", PlasticType, ignore.case = TRUE) ~ "unknown",
grepl("anthropogenic", PlasticType, ignore.case = TRUE) ~ "unknown",
grepl("natural", PlasticType, ignore.case = TRUE) ~ "natural",
PlasticType == "Non-Synthetic Fiber (cotton, silk, wool)" ~ "natural",
PlasticType == "Wool" ~ "natural",
PlasticType == "Cotton" ~ "natural",
PlasticType == "Cellulosic" ~ "natural",
PlasticType == "Glass" ~ "anthropogenic (not plastic)",
PlasticType == "Asphalt" ~ "anthropogenic (not plastic)",
PlasticType == "Not Characterized" ~ "Not Characterized"
)) %>%
replace_na(list(general = "plastic"))
particle.counts <- particle.data.annotated %>%
filter(general != "Not Characterized") %>%
group_by(SampleID) %>%
summarize(total.particle.count = n())
proportions_samples_allMatrices <- particle.data.annotated %>%
filter(general != "Not Characterized") %>%
#collapse levels of polymer types
group_by(SampleID, SampleMatrix, general) %>%
summarize(count = n()) %>%
#only plastic
filter(general == "plastic") %>%
#join with counts
left_join(particle.counts, by = "SampleID") %>%
#get proportions
mutate(proportion = count/total.particle.count)
#run ANOVA
proportion_matrix_aov <- aov(proportion ~ SampleMatrix, data = proportions_samples_allMatrices)
summary(proportion_matrix_aov)## Df Sum Sq Mean Sq F value Pr(>F)
## SampleMatrix 4 9.459 2.3647 79.21 <2e-16 ***
## Residuals 228 6.807 0.0299
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.4.2.1 Post-Hoc
tukey <- TukeyHSD(proportion_matrix_aov)
#save
tukey.data <- as.data.frame(tukey$SampleMatrix)
write.csv(tukey.data,
"output/data/tukey_data.csv")
tukey## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = proportion ~ SampleMatrix, data = proportions_samples_allMatrices)
##
## $SampleMatrix
## diff lwr upr p adj
## fish-eff -0.06782449 -0.17913572 0.04348674 0.4511920
## manta-eff 0.40914170 0.29195188 0.52633151 0.0000000
## sed-eff 0.05662999 -0.08662242 0.19988239 0.8131218
## sw-eff 0.10995464 -0.04104665 0.26095593 0.2682050
## manta-fish 0.47696619 0.40211707 0.55181531 0.0000000
## sed-fish 0.12445447 0.01314325 0.23576570 0.0198422
## sw-fish 0.17777913 0.05665800 0.29890026 0.0007032
## sed-manta -0.35251171 -0.46970153 -0.23532190 0.0000000
## sw-manta -0.29918706 -0.42573188 -0.17264224 0.0000000
## sw-sed 0.05332465 -0.09767664 0.20432594 0.86796282.4.2.2 Location and matrix
proportions_samples_allMatrices_summary <- proportions_samples_allMatrices %>%
group_by(SampleMatrix) %>%
summarize(ave.proportion = mean(proportion),
sd.proportion = sd(proportion),
n.proportion = n())
write.csv(proportions_samples_allMatrices_summary,
"output/data/proportions_samples_allMatrices_summary.csv")
proportions_samples_allMatrices_summary## # A tibble: 5 x 4
## SampleMatrix ave.proportion sd.proportion n.proportion
## <fct> <dbl> <dbl> <int>
## 1 eff 0.310 0.183 22
## 2 fish 0.243 0.119 106
## 3 manta 0.720 0.243 65
## 4 sed 0.367 0.141 22
## 5 sw 0.420 0.160 182.4.3 Breakdown of poylmers in categories
2.4.3.0.1 Collapsible Tree
tree <- polymer_site_matrices %>%
group_by(general, Polymer) %>%
#summarize("AveProportion" =mean(proportion)) %>%
summarize("AveProportion" = paste0(round(mean(proportion),2),"%")) %>%
collapsibleTree(polymer_site_matrices,
hierarchy = c("general", "Polymer"),#,"AveProportion"),
width = 800,
height = 1000,
#zoomable = FALSE,
#attribute = "AveProportion",
fill = c(
# The root
"Category",
# Unique regions
rep("brown", length(unique(polymer_site_matrices$general))),
# Unique classes per region
rep("khaki", length(unique(paste(polymer_site_matrices$general, polymer_site_matrices$Polymer))))
),
root = "Category",
fontSize = 13,
collapsed = FALSE)
treehtmltools::save_html(tree, file="output/figures/tree.html")2.4.3.0.2 Stacked bar plot
specific_proportions <- polymer_site_matrices %>%
group_by(Sample.Type, general, Polymer) %>%
summarize(ave.prop = mean(proportion), sd.prop = sd(proportion))
specific_proportions## # A tibble: 162 x 5
## # Groups: Sample.Type, general [24]
## Sample.Type general Polymer ave.prop sd.prop
## <chr> <chr> <chr> <dbl> <dbl>
## 1 Fish anthropogenic (not plastic) Anthropogenic (synt~ 4 1.41
## 2 Fish anthropogenic (not plastic) Other anthropogenic~ 0 0
## 3 Fish natural Natural material (p~ 0.5 0.577
## 4 Fish natural Non-Synthetic Fiber~ 9.5 1.73
## 5 Fish plastic Acrylic 3.5 0.577
## 6 Fish plastic Acrylonitrile butad~ 0 0
## 7 Fish plastic Cellulose acetate 1.5 1.91
## 8 Fish plastic Copolymers 1.25 0.957
## 9 Fish plastic Dimethylpolysiloxane 0 0
## 10 Fish plastic Nylon 0 0
## # ... with 152 more rowsspecific_proportions_graph <- specific_proportions %>%
ggplot(aes(x = ave.prop, y = Sample.Type, fill = general)) +
geom_col(position = "fill") +
#geom_errorbarh(aes(xmax = ave.prop + sd.prop, xmin = ave.prop - sd.prop),
# height = 0.2,
# position = "identity") +
scale_x_continuous(name = "Relative Percentages of % of Sub-Sampled Particles",
# limits = c(0,1),
labels = scales::percent_format(scale = 100)) +
scale_fill_d3(name = "Particle Category") +
theme.type +
theme(legend.position = "bottom",
legend.title = element_blank(),
axis.title.y = element_blank(),
legend.text = element_text(size = 14))
specific_proportions_graph
2.4.3.0.3 Stacked bar plot polymers
2.4.3.0.3.1 Collapse categories with few polymers
simple_polymer_summary <- polymer_site_matrices %>%
group_by(Sample.Type, general, Polymer) %>%
mutate(Polymer = as.character(Polymer)) %>%
summarize(ave.prop = mean(proportion), sd.prop = sd(proportion)) %>%
#group the low occuring plastics into "other"
mutate(polymer_simple = case_when(ave.prop <= 1.3 ~ "Other plastics",
ave.prop > 1.3 ~ Polymer)) %>%
#re-summarize based on new collapsed categories
group_by(polymer_simple, Sample.Type, general) %>%
summarize(prop = sum(ave.prop)) %>%
filter(general == "plastic")
simple_polymer_summary## # A tibble: 45 x 4
## # Groups: polymer_simple, Sample.Type [45]
## polymer_simple Sample.Type general prop
## <chr> <chr> <chr> <dbl>
## 1 Acrylic Fish plastic 3.5
## 2 Acrylic Sediment plastic 3.6
## 3 Acrylic Storm plastic 2.25
## 4 Acrylic Surface (1L-grab) plastic 2.2
## 5 Acrylic Surface (Manta Trawl) plastic 4.93
## 6 Acrylic WWTP plastic 2
## 7 Cellulose acetate Fish plastic 1.5
## 8 Cellulose acetate Sediment plastic 3.8
## 9 Cellulose acetate Storm plastic 8.5
## 10 Copolymers Sediment plastic 1.4
## # ... with 35 more rowslevels(factor(simple_polymer_summary$polymer_simple))## [1] "Acrylic" "Cellulose acetate" "Copolymers"
## [4] "Nylon" "Other plastics" "Paint"
## [7] "Polycarbonate" "Polyester" "Polyethylene"
## [10] "Polypropylene" "Polystyrene" "Polyurethane"
## [13] "Polyvinyl alcohol" "Polyvinyl chloride"#get color palette
library(RColorBrewer)
n <- 13#count(levels(factor(simple_polymer_summary$polymer_simple)))
qual_col_pals = brewer.pal.info[brewer.pal.info$category == 'qual',]
col_vector = unlist(mapply(brewer.pal, qual_col_pals$maxcolors, rownames(qual_col_pals)))
pie(rep(1,n), col=sample(col_vector, n))
specific_proportions_polymers_graph <- simple_polymer_summary %>%
filter(general %in% c("plastic")) %>%
ggplot(aes(x = prop, y = Sample.Type, fill = polymer_simple)) +
geom_col(position = "fill") +
#geom_errorbarh(aes(xmax = ave.prop + sd.prop, xmin = ave.prop - sd.prop),
# height = 0.2,
# position = "identity") +
scale_x_continuous(name = "Relative Percentages of Identified Plastics",
# limits = c(0,100),
labels = scales::percent_format(scale = 100)) +
scale_fill_manual(values = col_vector) +
theme.type +
theme(legend.position = "bottom",
legend.title = element_blank(),
legend.text = element_text(size = 14),
axis.title.y = element_blank())
specific_proportions_polymers_graph
proportions_polymers_arranged <- ggarrange(specific_proportions_graph,
specific_proportions_polymers_graph,
labels = c("A", "B"),
ncol = 1,
nrow = 2)
proportions_polymers_arranged
ggsave(plot = proportions_polymers_arranged,
filename = "proportions_arranged_polymers.jpeg",
path = "output/figures/",
width = 10, height = 8, units = "in",
bg = "white",
dpi = 300)2.5 FIBER CORRECTION
2.5.1 9 Samples with Fibers
2.5.1.1 Data cleanup
Chelsea sent a file that contains the 9 manta trawl samples with fibers. The goal here is to determine what percentage of particles were fibers in those manta trawl samples.
manta_with_fibers <- readxl::read_excel("data/MantaWFibers.xlsx") %>%
janitor::clean_names() %>%
#SampleId is not present, so need to make a new one
#sample CB8 was split into two, so collapse into one
mutate(station_code = case_when(station_code == "CB8 2/2" ~ "CB8",
TRUE ~ as.character(station_code))) %>%
mutate(sample_id = paste0(station_code, collection_date)) %>%
mutate(SampleType = "Surface Water (Manta Trawl; Fibers)")
#convert strings to lowercase
manta_with_fibers$category <- str_to_lower(manta_with_fibers$category)
# remove tailing blank space
manta_with_fibers$category <- str_trim(manta_with_fibers$category, "right")
#convert to factor
manta_with_fibers <- manta_with_fibers %>%
mutate_if(is.character, as.factor)
#
levels(manta_with_fibers$category)## [1] "-" "anthropogenic (cellulosic)"
## [3] "anthropogenic (unknown base)" "fiber"
## [5] "fiber bundle" "film"
## [7] "film/frag" "film?"
## [9] "foam" "fragment"
## [11] "pe" "pellet"
## [13] "pet" "polyacrylonitrile"
## [15] "pp" "sphere"#clean levels
manta_with_fibers <- manta_with_fibers %>%
filter(category %in% c("fiber", "film/frag", "fragment", "fiber bundle",
"film?", "fragment", "pellet", "film", "foam", "sphere",
"pellet")) %>%
#fix different levels
mutate(category = factor(case_when(
category == "film/frag" ~ "fragment",
category == "film?" ~ "film",
category == "pellet" ~ "sphere",
TRUE ~ as.character(category)
)))
#ensure sensible levels
levels(manta_with_fibers$category)## [1] "fiber" "fiber bundle" "film" "foam" "fragment"
## [6] "sphere"skim(manta_with_fibers)| Name | manta_with_fibers |
| Number of rows | 5665 |
| Number of columns | 14 |
| _______________________ | |
| Column type frequency: | |
| factor | 13 |
| numeric | 1 |
| ________________________ | |
| Group variables | None |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts |
|---|---|---|---|---|---|
| station_code | 0 | 1.00 | FALSE | 8 | CB8: 2677, SB1: 1865, SB1: 363, SPB: 314 |
| collection_date | 0 | 1.00 | FALSE | 9 | 431: 2677, 431: 1865, 429: 363, 429: 265 |
| collection_time | 0 | 1.00 | FALSE | 9 | 0.5: 2677, 2:5: 1865, 0.5: 363, 3:2: 266 |
| sample_type | 0 | 1.00 | FALSE | 5 | Fie: 3267, Fie: 1865, Fie: 266, fie: 219 |
| length_mm | 4439 | 0.22 | FALSE | 784 | NA: 300, 6: 9, 5: 8, 7: 8 |
| width_mm | 4442 | 0.22 | FALSE | 445 | NA: 300, 0.0: 90, 0.0: 35, 1.7: 24 |
| plastic_type | 5298 | 0.06 | FALSE | 44 | PE: 76, PP: 66, Pol: 40, PS: 32 |
| category | 0 | 1.00 | FALSE | 6 | fib: 3921, fra: 1354, foa: 227, fil: 81 |
| color | 0 | 1.00 | FALSE | 20 | bla: 1130, blu: 965, cle: 804, dar: 725 |
| raman_or_ftir | 5404 | 0.05 | FALSE | 2 | FTI: 254, Ram: 7, bla: 0, blu: 0 |
| x12 | 5665 | 0.00 | FALSE | 0 | FTI: 0, Ram: 0 |
| sample_id | 0 | 1.00 | FALSE | 9 | CB8: 2677, SB1: 1865, SB1: 363, GFN: 265 |
| SampleType | 0 | 1.00 | FALSE | 1 | Sur: 5665 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| lab_sample_id | 10 | 1 | 692.12 | 555.99 | 1 | 191 | 571 | 1143.5 | 1871 | ▇▃▃▂▂ |
2.5.1.2 Summarize Shape Percentages OVERALL
## get total counts of particles per sample
totals_all <- manta_with_fibers %>%
drop_na(category) %>%
group_by(SampleType) %>%
summarize(total = n())
#determine which samples have fibers
shape_counts_all <- manta_with_fibers %>%
group_by(category, SampleType) %>%
summarize(n = n()) %>%
left_join(totals_all, by = "SampleType") %>%
mutate(proportion = n / total)
#plot per sample
total_manta_shapes <- shape_counts_all %>%
ggplot(aes(x = proportion, y = SampleType, fill = category)) +
geom_col(position = "fill") +
scale_x_continuous(name = "Relative Fiber Percentages of % of Sub-Sampled Particles",
labels = scales::percent_format(scale = 100)) +
scale_fill_d3(name = "Particle Category") +
theme.type +
theme(legend.position = "bottom",
legend.title = element_blank(),
axis.title.y = element_blank(),
legend.text = element_text(size = 14))
total_manta_shapes
2.5.1.3 Summarize Shape Percentages by Sample
## get total counts of particles per sample
totals <- manta_with_fibers %>%
drop_na(category) %>%
group_by(sample_id) %>%
summarize(total = n())
#determine which samples have fibers
shape_counts <- manta_with_fibers %>%
group_by(station_code, sample_id, category) %>%
summarize(n = n()) %>%
left_join(totals, by = "sample_id") %>%
mutate(proportion = n / total)
shape_counts## # A tibble: 37 x 6
## # Groups: station_code, sample_id [9]
## station_code sample_id category n total proportion
## <fct> <fct> <fct> <int> <int> <dbl>
## 1 CB4 CB48.21.2017 fiber 84 89 0.944
## 2 CB4 CB48.21.2017 fragment 5 89 0.0562
## 3 CB8 CB843111 fiber 1406 2677 0.525
## 4 CB8 CB843111 fiber bundle 43 2677 0.0161
## 5 CB8 CB843111 film 47 2677 0.0176
## 6 CB8 CB843111 foam 157 2677 0.0586
## 7 CB8 CB843111 fragment 1014 2677 0.379
## 8 CB8 CB843111 sphere 10 2677 0.00374
## 9 CBNMS22 CBNMS2209.12.2017 fiber 38 43 0.884
## 10 CBNMS22 CBNMS2209.12.2017 film 2 43 0.0465
## # ... with 27 more rows#plot per sample
true_shape_graph_sample <- shape_counts %>%
filter(category == "fiber") %>%
ggplot(aes(x = proportion, y = sample_id)) +
geom_col() + #position = "fill") +
scale_x_continuous(name = "Relative Fiber Percentages of % of Sub-Sampled Particles",
labels = scales::percent_format(scale = 100)) +
scale_fill_d3(name = "Particle Category") +
theme.type +
theme(legend.position = "bottom",
legend.title = element_blank(),
axis.title.y = element_blank(),
legend.text = element_text(size = 14))
true_shape_graph_sample
2.5.1.4 Averages
2.5.1.4.1 Barplot
shape.ave <- shape_counts %>%
# filter(category == "fiber") %>%
group_by(category) %>%
summarise(ave.prop = mean(proportion), sd.prop = sd(proportion), n.prop = 10) %>%
mutate(category = fct_reorder(factor(category), desc(ave.prop))) %>%
mutate(SampleType = "Surface Water (Manta Trawl; Fibers)")
shape.ave ## # A tibble: 6 x 5
## category ave.prop sd.prop n.prop SampleType
## <fct> <dbl> <dbl> <dbl> <chr>
## 1 fiber 0.783 0.283 10 Surface Water (Manta Trawl; Fibers)
## 2 fiber bundle 0.00931 0.00610 10 Surface Water (Manta Trawl; Fibers)
## 3 film 0.0455 0.0532 10 Surface Water (Manta Trawl; Fibers)
## 4 foam 0.0293 0.0197 10 Surface Water (Manta Trawl; Fibers)
## 5 fragment 0.163 0.248 10 Surface Water (Manta Trawl; Fibers)
## 6 sphere 0.00834 0.00507 10 Surface Water (Manta Trawl; Fibers)#plot
shape.bar <- shape.ave %>%
ggplot(aes(x = ave.prop, y = category, fill = category)) +
geom_col() + #position = "fill") +
geom_errorbarh(aes(xmin = ave.prop - sd.prop/sqrt(n.prop), xmax = ave.prop + sd.prop/sqrt(n.prop))) +
scale_x_continuous(name = "Relative Shape Proportions of Sub-Sampled Particles \n in Manta Trawl with Counted Fibers",
labels = scales::percent_format(scale = 100)) +
scale_fill_aaas(name = "Particle Category") +
theme.type +
theme(legend.position = "none",
legend.title = element_blank(),
axis.title.y = element_blank(),
legend.text = element_text(size = 14),
axis.title.x = element_text(size = 14),
axis.text.y = element_text(size = 14))
shape.bar
#####Boxplot
shape.box <- shape_counts %>%
left_join(shape.ave, by = "category") %>%
mutate(category = fct_reorder(factor(category), desc(ave.prop))) %>%
ggplot(aes(x = proportion, y = category, fill = category)) +
geom_boxplot(alpha = 0.8) +
scale_x_continuous(name = "Relative Shape Proportions of Sub-Sampled Particles \n in Manta Trawl with Counted Fibers",
labels = scales::percent_format(scale = 100)) +
scale_fill_aaas(name = "Particle Category") +
theme.type +
theme(legend.position = "none",
legend.title = element_blank(),
axis.title.y = element_blank(),
legend.text = element_text(size = 16),
axis.title.x = element_text(size = 14),
axis.text.y = element_text(size = 14))
shape.box
manta_with_fibers_plots <- ggarrange(shape.box,shape.bar,
labels = c("A", "B"),
nrow = 2,
common.legend = FALSE)
ggsave(plot = manta_with_fibers_plots,
filename = "manta_with_fibers_plots.jpg",
path = "output/figures/",
width = 8, height = 10, units = "in",
bg = "white",
dpi = 300)2.5.1.4.2 Derive Fiber Correction Factor
fiber.correction.factor <- shape_counts %>%
filter(category == "fiber") %>%
group_by() %>%
summarise(ave.fiber = mean(proportion), sd.fiber = sd(proportion), n.fiber = n())
fiber.correction.factor## # A tibble: 1 x 3
## ave.fiber sd.fiber n.fiber
## <dbl> <dbl> <int>
## 1 0.783 0.283 92.5.1.4.3 Apply Fiber Correction Factor
# to correct for missing fibers in manta trawls, we take the inverse of 1 - proportion of fibers. For example, if 78% of fibers are removed from manta, the correction factor would be 4.54
fiber.correction = 1/(1 - as.numeric(fiber.correction.factor$ave.fiber[1]))
fiber.correction.sd = 1/(1 - as.numeric(fiber.correction.factor$sd.fiber[1]))
fiber.correction.n = as.numeric(fiber.correction.factor$n.fiber[1])
#sfbay2 <-
sfBay2 <- sfBay2 %>%
#annotate fiber correction factor to dataset
mutate(fiber.correction.factor = case_when(
Sampling.apparatus == "Manta Trawl" ~ fiber.correction,
TRUE ~ as.numeric(1))) %>%
mutate(fiber.correction.factor.sd = case_when(
Sampling.apparatus == "Manta Trawl" ~ fiber.correction.sd)) %>%
mutate(fiber.correction.factor.n = case_when(
Sampling.apparatus == "Manta Trawl" ~ fiber.correction.n)) %>%
## multiply
mutate(particles.L.blank.corrected.fiber.corrected =
particles.L.blank.corrected * fiber.correction.factor)
## Uncertainty analysis ##
sfBay2$particles.L.blank.corrected.fiber.corrected## [1] 1.630000e+00 1.650000e+00 7.200000e+00 5.630000e+00 4.940000e+00
## [6] 8.430000e+00 1.006000e+01 2.310000e+00 1.090000e+00 1.784000e+01
## [11] 1.236000e+01 2.441000e+01 6.450000e-02 1.150000e-02 1.778000e-01
## [16] 4.210000e-02 3.000000e-03 5.400000e-03 1.860000e-02 2.330000e-02
## [21] 2.220000e-02 7.780000e-02 3.700000e-03 5.500000e-03 1.083000e-01
## [26] 1.593000e-01 1.816000e-01 7.500000e-03 6.830000e-02 NA
## [31] NA NA NA NA NA
## [36] NA NA NA NA NA
## [41] NA NA NA NA NA
## [46] NA NA NA NA NA
## [51] NA NA NA NA NA
## [56] NA NA NA NA NA
## [61] NA NA NA NA NA
## [66] NA NA NA NA NA
## [71] NA NA NA NA NA
## [76] NA NA NA NA NA
## [81] NA NA NA NA NA
## [86] NA NA NA NA NA
## [91] NA NA NA NA NA
## [96] NA NA NA NA NA
## [101] NA NA NA NA NA
## [106] NA NA NA NA NA
## [111] NA NA NA NA NA
## [116] NA NA NA NA NA
## [121] NA NA NA NA NA
## [126] NA NA NA NA NA
## [131] NA NA NA NA NA
## [136] NA NA NA NA NA
## [141] NA NA NA NA NA
## [146] NA NA NA NA NA
## [151] NA NA NA NA NA
## [156] NA NA NA NA NA
## [161] NA NA NA NA NA
## [166] NA NA NA NA NA
## [171] NA NA NA NA NA
## [176] NA NA NA NA NA
## [181] NA NA NA NA NA
## [186] NA NA NA NA NA
## [191] NA NA NA NA NA
## [196] NA NA NA NA NA
## [201] NA 1.057632e-04 2.811461e-02 2.018697e-03 8.681777e-03
## [206] 2.349782e-03 3.816671e-04 2.133657e-03 3.559161e-03 3.352233e-03
## [211] 1.041537e-02 1.997085e-02 8.644990e-04 2.556296e-01 4.046591e-04
## [216] 7.495391e-04 5.793983e-04 6.391775e-04 0.000000e+00 1.057632e-04
## [221] 1.002451e-03 9.196798e-05 3.632735e-04 6.391775e-04 3.586751e-04
## [226] 2.299200e-05 4.414463e-04 2.575103e-04 4.515628e-03 1.223174e-03
## [231] 1.641628e-03 1.140403e-03 7.035551e-04 2.372774e-03 1.820966e-03
## [236] 1.351929e-03 1.255363e-03 8.736958e-05 1.747392e-04 3.126911e-04
## [241] 2.483136e-04 1.747392e-04 3.126911e-04 1.103616e-04 5.150207e-04
## [246] 1.085222e-03 8.323102e-04 1.197883e-02 5.885951e-04 2.244019e-03
## [251] 1.333076e-02 6.364184e-03 1.958918e-03 2.713055e-04 4.230527e-04
## [256] 2.929180e-03 6.479144e-03 3.724703e-04 6.023903e-04 3.465347e+00
## [261] 2.734878e+00 7.433102e+00 6.277464e-01 1.950959e+00 4.984424e+00
## [266] 2.325107e+00 1.582779e+00 2.703562e+00 2.551020e+00 6.578947e+00
## [271] 1.871102e+01 3.000000e+00 1.640420e+00 8.671523e+00 6.523157e-01
## [276] 0.000000e+00 1.811594e+00 7.095745e-01 1.262626e+00 3.664755e+00
## [281] 3.098500e+00 1.279591e+00 7.619048e+00 2.412281e+00 1.357323e+01
## [286] 2.383222e+00 9.433962e-01 3.570315e+01 2.252599e+00 2.202268e+00
## [291] 1.605652e+00 4.269450e+00 3.502069e+00 1.876590e+01 6.298450e+00
## [296] 9.980040e-01 6.144393e+00 3.346080e+00 1.595745e+00 2.666667e+00
## [301] 4.338395e+00 9.931383e+00 3.333333e+00 2.833333e+00 5.086072e+00
## [306] 5.243089e+00 2.764613e+00 4.427577e+002.5.2 Using CEDEN Data
NOTE: This dataset contains 11 samples with fibers, while the rest do not. Alice’s blank-coprrected dataset EXCLUDES all fibers for manta trawl, so these data are NOT representative.
particle.data.clean.plastic <- particle.data.clean %>%
rename(Polymer = PlasticType) %>%
#annotate polymer types
mutate(Polymer = case_when(
Polymer == "PP" ~ "Polypropylene",
Polymer == "PU" ~ "Polyurethane",
Polymer == "PVC" ~ "Polyvinyl chloride",
Polymer == "PTFE" ~ "Polytetrafluoroethylene",
Polymer == "PS" ~ "Polystyrene",
Polymer == "PE" ~ "Polyethylene",
Polymer == "ABS" ~ "Acrylonitrile butadiene styrene",
Polymer == "Acrylic, acrylate" ~ "Acrylic",
Polymer == "Cotton" ~ "Non-Synthetic Fiber (cotton, silk, wool)",
Polymer == "Wool" ~ "Non-Synthetic Fiber (cotton, silk, wool)",
Polymer == "Asphalt" ~ "Other anthropogenic (asphalt, wax)",
Polymer == "Other anthropogenic (asphalt, rubber, paint, wax)" ~ "Other anthropogenic (asphalt, wax)",
Polymer == "Stearates, Lubricants, Waxes" ~ "Stearates, Lubricants",
TRUE ~ as.character(Polymer)
)) %>%
#reclassigy upper level
mutate(general = case_when(
grepl("Unknown", Polymer, ignore.case = TRUE) ~ "unknown",
grepl("anthropogenic", Polymer, ignore.case = TRUE) ~ "anthropogenic (not plastic)",
grepl("natural", Polymer, ignore.case = TRUE) ~ "natural",
Polymer == "Non-Synthetic Fiber (cotton, silk, wool)" ~ "natural",
Polymer == "Wool" ~ "natural",
Polymer == "Cotton" ~ "natural",
Polymer == "Cellulosic" ~ "natural",
Polymer == "Glass" ~ "anthropogenic (not plastic)",
Polymer == "Asphalt" ~ "anthropogenic (not plastic)",
Polymer == "Not Characterized" ~ "Not Characterized",
Polymer == "Stearates, Lubricants" ~ "anthropogenic (not plastic)"
)) %>%
replace_na(list(general = "plastic")) %>%
#remove everything other than plastic
filter(general == "plastic") %>%
#relevel sample types
mutate(Sample.Type = factor(case_when(SampleMatrix == "manta" ~ "Surface (Manta Trawl)",
SampleMatrix == "sw" ~ "Surface (1L-grab)",
SampleMatrix == "fish" ~ "Fish",
SampleMatrix == "sed" ~ "Sediment",
SampleMatrix == "eff" ~ "Storm")))
skim(particle.data.clean.plastic)| Name | particle.data.clean.plast… |
| Number of rows | 3171 |
| Number of columns | 13 |
| _______________________ | |
| Column type frequency: | |
| character | 4 |
| factor | 6 |
| numeric | 3 |
| ________________________ | |
| Group variables | None |
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace |
|---|---|---|---|---|---|---|---|
| Polymer | 0 | 1 | 5 | 39 | 0 | 34 | 0 |
| matrix | 0 | 1 | 6 | 11 | 0 | 6 | 0 |
| site | 0 | 1 | 7 | 25 | 0 | 6 | 0 |
| general | 0 | 1 | 7 | 7 | 0 | 1 | 0 |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts |
|---|---|---|---|---|---|
| SampleMatrix | 0 | 1 | FALSE | 5 | man: 1860, eff: 403, sw: 340, sed: 338 |
| SampleID | 0 | 1 | FALSE | 233 | CB9: 578, LSB: 119, CB8: 102, CB4: 70 |
| MorphologicalCategory | 0 | 1 | FALSE | 6 | Fra: 1208, Fib: 768, Sph: 402, Fil: 383 |
| Color | 2 | 1 | FALSE | 17 | Cle: 746, Whi: 706, Blu: 432, Bla: 261 |
| MatrixName | 0 | 1 | FALSE | 18 | sam: 1146, sam: 354, sed: 243, sam: 233 |
| Sample.Type | 0 | 1 | FALSE | 5 | Sur: 1860, Sto: 403, Sur: 340, Sed: 338 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| Length.mm | 431 | 0.86 | 2.87 | 7.83 | 0 | 0.50 | 1.00 | 2.52 | 147.5 | ▇▁▁▁▁ |
| Width.mm | 428 | 0.87 | 1.17 | 4.61 | 0 | 0.07 | 0.33 | 0.74 | 117.0 | ▇▁▁▁▁ |
| Size_um | 431 | 0.86 | 2866.19 | 7828.37 | 0 | 500.75 | 997.00 | 2522.25 | 147500.0 | ▇▁▁▁▁ |
2.5.2.1 Summarize Morphologies
2.5.2.1.1 Across ALL Samples
# get numbers for each sample.type
total_samples <- particle.data.clean.plastic %>%
filter(!grepl("blank", SampleID, ignore.case = TRUE)) %>%
#remove manta trawl because it doesn't reflect Zhu et al particle counts
filter(Sample.Type != "Surface (Manta Trawl)") %>%
group_by(Sample.Type) %>%
summarize(total = n())
#total_samples
# calculate proportions of shapes for each matrix
simple_shape_summary <- particle.data.clean.plastic %>%
filter(!grepl("blank", SampleID, ignore.case = TRUE)) %>%
filter(Sample.Type != "Surface (Manta Trawl)") %>%
group_by(Sample.Type, MorphologicalCategory) %>%
summarize(shape_count = n()) %>%
left_join(total_samples, by = "Sample.Type") %>%
mutate(proportion = shape_count / total) %>%
group_by(Sample.Type, MorphologicalCategory) %>%
summarize(ave.prop = mean(proportion), sd.prop = sd(proportion), n.prop = n())
simple_shape_summary## # A tibble: 21 x 5
## # Groups: Sample.Type [4]
## Sample.Type MorphologicalCategory ave.prop sd.prop n.prop
## <fct> <fct> <dbl> <dbl> <int>
## 1 Fish Fiber 0.822 NA 1
## 2 Fish Film 0.0533 NA 1
## 3 Fish Foam 0.00444 NA 1
## 4 Fish Fragment 0.116 NA 1
## 5 Fish Sphere 0.00444 NA 1
## 6 Sediment Fiber 0.275 NA 1
## 7 Sediment Film 0.134 NA 1
## 8 Sediment Foam 0.0627 NA 1
## 9 Sediment Fragment 0.373 NA 1
## 10 Sediment Sphere 0.155 NA 1
## # ... with 11 more rowsManta trawl count data in Zhu et al had fibers removed. Need to filter those out for manta before reporting.
#remove manta and fibers and count separately then re-join to other matrices
total.particle.manta <- particle.data.clean.plastic %>%
filter(!grepl("blank", SampleID, ignore.case = TRUE)) %>%
filter(Sample.Type == "Surface (Manta Trawl)") %>%
filter(!MorphologicalCategory %in% c("Fiber", "Fiber Bundle")) %>%
group_by(Sample.Type) %>%
summarize(total.count = n())
# calculate proportions of shapes for each matrix
shape_summary_manta_noFibers <- particle.data.clean.plastic %>%
filter(!grepl("blank", SampleID, ignore.case = TRUE)) %>%
filter(Sample.Type == "Surface (Manta Trawl)") %>%
filter(!MorphologicalCategory %in% c("Fiber", "Fiber Bundle")) %>%
group_by(MorphologicalCategory, Sample.Type) %>%
summarize(shape_count = n()) %>%
left_join(total.particle.manta, by = "Sample.Type") %>%
mutate(proportion = shape_count / total.count) %>%
group_by(Sample.Type, MorphologicalCategory) %>%
summarize(ave.prop = mean(proportion), sd.prop = sd(proportion), n.prop = n())
####prep manta trawl with fibers for joining with other data###
#get total count
manta_with_fibers_count <- manta_with_fibers %>%
filter(!grepl("blank", sample_type, ignore.case = TRUE)) %>%
rename(MorphologicalCategory = category,
Sample.Type = SampleType) %>%
group_by(Sample.Type) %>%
summarize(total.particle.count = n())
#get shape proportions
shape_summary_manta_Fibers <- manta_with_fibers %>%
filter(!grepl("blank", sample_type, ignore.case = TRUE)) %>%
rename(MorphologicalCategory = category,
Sample.Type = SampleType) %>%
group_by(Sample.Type, MorphologicalCategory) %>%
summarize(shape_count = n()) %>%
left_join(manta_with_fibers_count) %>%
mutate(proportion = shape_count / total.particle.count) %>%
group_by(Sample.Type, MorphologicalCategory) %>%
summarize(ave.prop = mean(proportion), sd.prop = sd(proportion), n.prop = n()) %>%
mutate(MorphologicalCategory = case_when(
MorphologicalCategory == "sphere" ~ "Sphere",
MorphologicalCategory == "film" ~ "Film",
MorphologicalCategory == "foam" ~ "Foam",
MorphologicalCategory == "fiber" ~ "Fiber",
MorphologicalCategory == "fragment" ~ "Fragment",
MorphologicalCategory == "fiber bundle" ~ "Fiber Bundle"
))
#join manta without fibers and other data
shape_summary <- rbind(simple_shape_summary, shape_summary_manta_noFibers, shape_summary_manta_Fibers)
shape_summary## # A tibble: 31 x 5
## # Groups: Sample.Type [6]
## Sample.Type MorphologicalCategory ave.prop sd.prop n.prop
## <fct> <chr> <dbl> <dbl> <int>
## 1 Fish Fiber 0.822 NA 1
## 2 Fish Film 0.0533 NA 1
## 3 Fish Foam 0.00444 NA 1
## 4 Fish Fragment 0.116 NA 1
## 5 Fish Sphere 0.00444 NA 1
## 6 Sediment Fiber 0.275 NA 1
## 7 Sediment Film 0.134 NA 1
## 8 Sediment Foam 0.0627 NA 1
## 9 Sediment Fragment 0.373 NA 1
## 10 Sediment Sphere 0.155 NA 1
## # ... with 21 more rows2.5.2.1.2 Proportions Ploit
specific_proportions_shapes_graph <- shape_summary %>%
mutate(Sample.Type = case_when(
Sample.Type == "Surface (Manta Trawl)" ~ "Surface (Manta Trawl; Fibers Subtracted)",
TRUE ~ as.character(Sample.Type)
)) %>%
ggplot(aes(x = ave.prop, y = Sample.Type, fill = MorphologicalCategory)) +
geom_col(position = "fill") +
#geom_errorbarh(aes(xmax = ave.prop + sd.prop, xmin = ave.prop - sd.prop),
# height = 0.2,
# position = "identity") +
scale_x_continuous(name = "Relative Percentages of Shapes of Confirmed Plastic Particles",
# limits = c(0,100),
labels = scales::percent_format(scale = 100)) +
scale_fill_npg() +
theme.type +
theme(legend.position = "bottom",
legend.title = element_blank(),
legend.text = element_text(size = 16),
axis.title.y = element_blank())
specific_proportions_shapes_graph
ggsave(plot = specific_proportions_shapes_graph,
filename = "specific_proportions_shapes_graph.jpg",
path = "output/figures/",
width = 8, height = 5, units = "in",
bg = "white",
dpi = 300)2.5.2.1.3 Variability
# get sample count n
n_samples <- particle.data.clean.plastic %>%
filter(general == "plastic") %>%
filter(!grepl("blank", SampleID, ignore.case = TRUE)) %>%
filter(Sample.Type != "Surface (Manta Trawl)") %>%
group_by(Sample.Type) %>%
summarize(total = n_unique(SampleID))
#### Do for all except manta #####
# get numbers for each sample.type
total_samples <- particle.data.clean.plastic %>%
filter(general == "plastic") %>%
filter(!grepl("blank", SampleID, ignore.case = TRUE)) %>%
filter(Sample.Type != "Surface (Manta Trawl)") %>%
group_by(SampleID) %>%
summarize(total = n())
#total_samples
# calculate proportions of shapes for each matrix
simple_shape_summary <- particle.data.clean.plastic %>%
filter(general == "plastic") %>%
filter(!grepl("blank", SampleID, ignore.case = TRUE)) %>%
filter(Sample.Type != "Surface (Manta Trawl)") %>%
group_by(Sample.Type, MorphologicalCategory, SampleID) %>%
summarize(shape_count = n()) %>%
left_join(total_samples, by = "SampleID") %>%
mutate(proportion = shape_count / total) %>%
group_by(Sample.Type, MorphologicalCategory) %>%
summarize(ave.prop = mean(proportion), sd.prop = sd(proportion), n.prop = n())
simple_shape_summary## # A tibble: 21 x 5
## # Groups: Sample.Type [4]
## Sample.Type MorphologicalCategory ave.prop sd.prop n.prop
## <fct> <fct> <dbl> <dbl> <int>
## 1 Fish Fiber 0.921 0.183 89
## 2 Fish Film 0.665 0.337 11
## 3 Fish Foam 1 NA 1
## 4 Fish Fragment 0.576 0.311 20
## 5 Fish Sphere 0.167 NA 1
## 6 Sediment Fiber 0.377 0.243 20
## 7 Sediment Film 0.177 0.0936 11
## 8 Sediment Foam 0.0929 0.0355 8
## 9 Sediment Fragment 0.396 0.160 19
## 10 Sediment Sphere 0.295 0.280 11
## # ... with 11 more rows#### Do for only manta #####
# get numbers for each sample.type
manta.total.samples <- particle.data.clean.plastic %>%
filter(general == "plastic") %>%
filter(MorphologicalCategory != "Fiber") %>%
filter(!grepl("blank", SampleID, ignore.case = TRUE)) %>%
filter(Sample.Type == "Surface (Manta Trawl)") %>%
group_by(SampleID) %>%
summarize(total = n())
#total_samples
# calculate proportions of shapes for each matrix
manta_shape_summary <- particle.data.clean.plastic %>%
filter(general == "plastic") %>%
filter(MorphologicalCategory != "Fiber") %>%
filter(!grepl("blank", SampleID, ignore.case = TRUE)) %>%
filter(Sample.Type == "Surface (Manta Trawl)") %>%
group_by(Sample.Type, MorphologicalCategory, SampleID) %>%
summarize(shape_count = n()) %>%
left_join(manta.total.samples, by = "SampleID") %>%
mutate(proportion = shape_count / total) %>%
group_by(Sample.Type, MorphologicalCategory) %>%
summarize(ave.prop = mean(proportion), sd.prop = sd(proportion), n.prop = n())
manta_shape_summary## # A tibble: 5 x 5
## # Groups: Sample.Type [1]
## Sample.Type MorphologicalCategory ave.prop sd.prop n.prop
## <fct> <fct> <dbl> <dbl> <int>
## 1 Surface (Manta Trawl) Fiber Bundle 0.138 0.129 7
## 2 Surface (Manta Trawl) Film 0.187 0.113 33
## 3 Surface (Manta Trawl) Foam 0.230 0.119 32
## 4 Surface (Manta Trawl) Fragment 0.660 0.247 57
## 5 Surface (Manta Trawl) Sphere 0.163 0.100 30average.shapes <- rbind(simple_shape_summary, manta_shape_summary)
average.shapes## # A tibble: 26 x 5
## # Groups: Sample.Type [5]
## Sample.Type MorphologicalCategory ave.prop sd.prop n.prop
## <fct> <fct> <dbl> <dbl> <int>
## 1 Fish Fiber 0.921 0.183 89
## 2 Fish Film 0.665 0.337 11
## 3 Fish Foam 1 NA 1
## 4 Fish Fragment 0.576 0.311 20
## 5 Fish Sphere 0.167 NA 1
## 6 Sediment Fiber 0.377 0.243 20
## 7 Sediment Film 0.177 0.0936 11
## 8 Sediment Foam 0.0929 0.0355 8
## 9 Sediment Fragment 0.396 0.160 19
## 10 Sediment Sphere 0.295 0.280 11
## # ... with 16 more rows2.5.2.1.4 Export data
### prep manta with fibers for binding
shape.ave_final <- shape.ave %>%
rename(MorphologicalCategory = category) %>%
rename(Sample.Type = SampleType) %>%
dplyr::select(c(Sample.Type, MorphologicalCategory, ave.prop, sd.prop, n.prop))
shape_summary_final <- average.shapes %>%
mutate(Sample.Type = case_when(Sample.Type == "Surface (Manta Trawl)" ~ "Surface (Manta Trawl; no fibers)",
TRUE ~ as.character(Sample.Type))) %>%
# join with fibers dataset
rbind(shape.ave_final) %>%
mutate(se.prop = ave.prop / sqrt(sd.prop))
#convert all to lwoer case
shape_summary_final$MorphologicalCategory <- str_to_lower(shape_summary_final$MorphologicalCategory)
#easy formatting
shape_summary_final_pretty <- shape_summary_final %>%
mutate(prop = paste0(round(ave.prop * 100,0),
"% ± ",
round(sd.prop * 100,0),
"% (",
n.prop,
")")) %>%
dplyr::select(c(Sample.Type, MorphologicalCategory, prop)) %>%
#join with fiber manta trawl+
pivot_wider(names_from = c(Sample.Type), values_from = prop)
shape_summary_final_pretty## # A tibble: 6 x 7
## MorphologicalCategory Fish Sediment Storm `Surface (1L-gr~ `Surface (Manta~
## <chr> <chr> <chr> <chr> <chr> <chr>
## 1 fiber 92% ±~ 38% ± 24~ 35% ~ 39% ± 15% (13) <NA>
## 2 film 67% ±~ 18% ± 9%~ 17% ~ 15% ± 9% (13) 19% ± 11% (33)
## 3 foam 100% ~ 9% ± 4% ~ 14% ~ 9% ± 6% (6) 23% ± 12% (32)
## 4 fragment 58% ±~ 40% ± 16~ 36% ~ 35% ± 13% (13) 66% ± 25% (57)
## 5 sphere 17% ±~ 29% ± 28~ 19% ~ 5% ± 3% (3) 16% ± 10% (30)
## 6 fiber bundle <NA> <NA> <NA> 10% ± 3% (7) 14% ± 13% (7)
## # ... with 1 more variable: Surface Water (Manta Trawl; Fibers) <chr>write.csv(shape_summary_final_pretty,
"output/data/shape_summary_final_pretty.csv")2.5.3 PLASTIC CORRECTION FACTOR
Since ANOVA demonstrated no differences in location for manta, use overall percentages to correct data ##### Generic correction factor for manta trawl
manta.correction <- manta.sample.plastic.percentages %>%
group_by() %>%
summarize(proportion = mean(freq), sd.proportion = sd(freq), n.proportion = n()) %>%
mutate(se.proportion = sd.proportion/sqrt(n.proportion)) %>%
mutate(proportion.upper95 = proportion + 1.96*se.proportion,
proportion.lower95 = proportion - 1.96*se.proportion)
manta.correction## # A tibble: 1 x 6
## proportion sd.proportion n.proportion se.proportion proportion.upper95
## <dbl> <dbl> <int> <dbl> <dbl>
## 1 73.2 23.6 58 3.10 79.3
## # ... with 1 more variable: proportion.lower95 <dbl>2.5.3.0.1 Site-specific for other matrices
##recode missing levels into generic (NA)
sfBay2_recode <- sfBay2 %>%
mutate(locationNew = case_when(
general.location == "Central Bay" ~ "Central Bay",
general.location == "South Bay" ~ "South Bay",
general.location == "Lower South Bay" ~ "Lower South Bay",
general.location == "National Marine Sancturay" ~ "National Marine Sanctuary",
general.location == "Tomales Bay" ~ "Tomales Bay",
general.location == "Treasure Island" ~ "general",
general.location == "SPB" ~ "general",
general.location == "SC" ~ "general",
general.location == "SUB" ~ "general",
general.location == "SOSL" ~ "general")) %>%
#cleanup
replace_na(list(locationNew = "general")) %>%
#recode matrices
mutate(matrix = case_when(
sample.matrix == "fish" ~ "Fish",
sample.matrix == "sediment" ~ "Sediment",
sample.matrix.specific == "stormwater" ~ "Storm",
sample.matrix.specific == "surface water" & Sampling.apparatus == "1-L grab" ~ "Surface (1L-grab)",
sample.matrix.specific == "surface water" & Sampling.apparatus == "Manta Trawl" ~ "Surface (Manta Trawl)",
sample.matrix.specific == "wastewater" ~ "WWTP")) %>%
#ID
mutate(locationMatrix = factor(paste(locationNew, matrix)))
sfBay2_recode## sampleID
## 1 17-POC-438-125&355
## 2 17-POC-259-125&355
## 3 20180406MMPStormSBCCMP125&355
## 4 17-POC-283-125&355
## 5 17-POC-515-125&355
## 6 17-POC-100-125&355
## 7 17-POC-130-125&355
## 8 17GR-003-125&355
## 9 20180108MMPStormSBSMMP125&355
## 10 20180108MMPStormCBMeek125&355
## 11 20180108MMPStormCBEmery125&355
## 12 19-POC-198-125&355
## 13 EBDA Aug 31 2017
## 14 EBDA Sept 26 2017
## 15 EBMUD Aug 22 2017
## 16 EBMUD Sept 26 2017
## 17 PA Aug 1 2017
## 18 PA July 20 2017 A
## 19 SJ Aug 10 2017
## 20 SJ Sept 19 2017
## 21 SUNN Sept 19 2017
## 22 CCCSD Sept 7 2017
## 23 FSSD Aug 23 2017
## 24 FSSD Sept 7 2017
## 25 EBMUD Oct 20 2017
## 26 SFPUC Nov 6 2017
## 27 SFPUC Nov 7 2017
## 28 SUNN Oct 17 2017
## 29 CCCSD Dec 6 2017
## 30 AN LSB06_1
## 31 AN LSB06_2
## 32 AN LSB06_4
## 33 TS LSB06_1
## 34 TS LSB06_2
## 35 TS LSB06_3
## 36 TS LSB06_4
## 37 AN LSB06_3
## 38 TS LSB06_5
## 39 TS LSB06_6
## 40 TS LSB06_7
## 41 TS LSB06_8
## 42 TS LSB06_9
## 43 TS LSB06_10
## 44 AN TB101_1
## 45 AN TB101_2
## 46 AN TB101_3
## 47 AN TB101_4
## 48 AN TB101_5
## 49 AN TB101_6
## 50 AN TB101_7
## 51 AN TB101_8
## 52 AN TB101_9
## 53 AN TB101_10
## 54 AN TB102_1
## 55 AN TB102_2
## 56 AN TB102_3
## 57 AN TB102_4
## 58 AN TB102_5
## 59 AN TB102_6
## 60 AN TB102_7
## 61 AN TB102_8
## 62 AN TB102_9
## 63 AN TB102_10
## 64 TS TB101_1
## 65 TS TB101_2
## 66 TS TB101_3
## 67 TS TB101_4
## 68 TS TB101_5
## 69 TS TB101_6
## 70 TS TB101_7
## 71 TS TB101_8
## 72 TS TB101_9
## 73 TS TB101_10
## 74 TS CB106_1
## 75 TS CB106_2
## 76 TS CB106_3
## 77 TS CB106_4
## 78 TS CB106_5
## 79 TS CB106_6
## 80 TS CB106_7
## 81 TS CB106_8
## 82 TS CB106_9
## 83 TS CB106_10
## 84 AN CB106_1
## 85 AN CB106_2
## 86 AN CB106_3
## 87 AN CB106_4
## 88 AN CB106_5
## 89 AN CB106_6
## 90 AN CB106_7
## 91 AN CB106_8
## 92 AN CB106_9
## 93 AN CB106_10
## 94 AN CB010_1
## 95 AN CB010_2
## 96 AN CB010_4
## 97 AN CB010_3
## 98 AN CB010_5
## 99 AN CB010_6
## 100 AN CB010_7
## 101 AN CB010_8
## 102 AN CB010_9
## 103 AN CB010_10
## 104 TS CB010_1
## 105 TS CB010_2
## 106 TS CB010_3
## 107 TS CB010_4
## 108 TS CB010_5
## 109 TS CB010_6
## 110 TS CB010_7
## 111 TS CB010_8
## 112 AN SOSL40_1
## 113 AN SOSL40_2
## 114 AN SOSL40_3
## 115 AN SOSL40_4
## 116 AN SOSL40_5
## 117 AN SOSL40_6
## 118 AN SOSL40_7
## 119 AN SOSL40_8
## 120 AN SOSL40_9
## 121 AN SOSL40_10
## 122 AN SB074_1
## 123 AN SB074_2
## 124 AN SB074_3
## 125 AN SB074_4
## 126 AN SB074_5
## 127 AN SB074_6
## 128 AN SB074_7
## 129 AN SB074_8
## 130 AN SB074_9
## 131 AN SB074_10
## 132 TS SB074_1
## 133 TS SB074_2
## 134 TS SB074_3
## 135 TS SB074_4
## 136 TS SB074_5
## 137 TS SB074_6
## 138 TS SB074_7
## 139 TS SB074_8
## 140 TS SB074_9
## 141 TS SB074_10
## 142 AN CB037_1
## 143 AN CB037_2
## 144 AN CB037_3
## 145 AN CB037_4
## 146 AN CB037_5
## 147 AN CB037_6
## 148 AN CB037_7
## 149 AN CB037_8
## 150 AN CB037_9
## 151 AN CB037_10
## 152 TS CB037_1
## 153 TS CB037_2
## 154 TS CB037_3
## 155 TS CB037_4
## 156 TS CB037_5
## 157 TS CB037_6
## 158 TS CB037_7
## 159 TS CB037_8
## 160 TS CB037_9
## 161 TS CB037_10
## 162 TS SOSL40_1
## 163 TS SOSL40_2
## 164 TS SOSL40_3
## 165 TS SOSL40_4
## 166 TS SOSL40_5
## 167 TS SOSL40_6
## 168 TS SOSL40_7
## 169 TS SOSL40_8
## 170 TS SOSL40_9
## 171 TS SOSL40_10
## 172 TS TB102_1
## 173 TS TB102_2
## 174 TS TB102_3
## 175 TS TB102_4
## 176 TS TB102_5
## 177 TS TB102_6
## 178 TS TB102_7
## 179 TS TB102_8
## 180 TS TB102_9
## 181 TS TB102_10
## 182 RMP_14SC_1153
## 183 15RMPMC_CB10_MP1
## 184 15RMPMC-CB15-MP1
## 185 15RMPMC_CB32_MP1
## 186 15RMPC_CB37_MP1
## 187 17MMP_S_LSB02_MP_1
## 188 17MMP_S_LSB04_MP_1
## 189 17MMP-S-LSB06-MP
## 190 15RMP_14SC_1270
## 191 17MMP_S_SB051_MP_1
## 192 17MMP_SB056_MP_1
## 193 17MMP_S_SB074_MP_1
## 194 17MMP_S_SOSL16_MP_1
## 195 17MMP_S_SOSL40_MP1
## 196 17MMP-S-SPB128-MP
## 197 17MMP_S_SPB15_MP1
## 198 17MMP-S-SUB52-MP
## 199 17MMP_S_SUB53_MP
## 200 17MMP_S_TB101_MP
## 201 17MMP_S_TB102_MP
## 202 CB4 Aug 21
## 203 CB4 Richmond Bdg Nov 16
## 204 CB5 Aug 22
## 205 CB5 Nov 16
## 206 CB5 Nov 5
## 207 CB6 Aug 22
## 208 CB6 Nov 16
## 209 CB7 Aug 22 DUP
## 210 CB7 Bay Bridge Nov 16
## 211 CB8 Aug 25
## 212 CB8 Jan 11
## 213 CB9 Aug 22
## 214 CB9 Jan 11 Total
## 215 CBNMS22 Mar 30
## 216 CBNMS22 Sept 12
## 217 CBNMS23 Mar 29
## 218 CBNMS23 Sept 12
## 219 CBNMS24 Sept 13
## 220 GFNMS24 Mar 29
## 221 GFNMS25 Mar 30
## 222 GFNMS25 Sept 11
## 223 GFNMS26 Mar 29
## 224 GFNMS26 Sept 12
## 225 GFNMS27 March 29
## 226 GFNMS27 Sept 13
## 227 GFNMS28 Mar 30
## 228 GFNMS28 DUP Sept 13
## 229 LSB14 Aug 24
## 230 LSB14 Mar 6
## 231 LSB15 Aug 24
## 232 LSB15 Mar 6
## 233 LSB16 Aug 24
## 234 LSB16 Mar 6
## 235 MBNMS29 Jan 11 2018
## 236 MBNMS29 Mar 30
## 237 MBNMS29 Nov 17 2017
## 238 MBNMS29 Sept 13
## 239 MBNMS30 Mar 31
## 240 MBNMS30 Sept 27
## 241 MBNMS31 Mar 31
## 242 MBNMS31 Sept 27
## 243 MBNMS32 Mar 31
## 244 MBNMS32 Sept 27
## 245 SB10 Aug 23
## 246 SB10 Mar 19
## 247 SB11 Aug 23
## 248 SB11 Mar 19
## 249 SB12 Aug 23
## 250 SB12 Mar 19
## 251 SB13 Aug 23
## 252 SB13 Mar 19
## 253 SF Bay Treasure Island Sept 18
## 254 SPB2 Aug 21 2017
## 255 SPB2 Nov 16
## 256 SPB3 Aug 21
## 257 SPB3 Nov 17
## 258 SUB1 Aug 21
## 259 SUB1 Nov 17
## 260 CB4 Aug 21 grab
## 261 CB4 Nov 22 grab
## 262 CB5 Aug 22 grab
## 263 CB5 Nov 22 grab
## 264 CB6 Aug 22 grab
## 265 CB6 Nov 22 grab
## 266 CB7 Aug 22 grab
## 267 CB7 Nov 22 grab
## 268 CB8 Aug 22 grab
## 269 CB8 Jan 11 grab
## 270 CB9 Aug 22 grab
## 271 CB9 Jan 22 grab
## 272 CBNMS22 Sept 12 grab
## 273 CBNMS23 Sep 22 grab
## 274 CBNMS24 Sep 22 grab
## 275 GFNMS/MBNMS29 Jan 22 grab
## 276 GFNMS25 Mar 22 grab
## 277 GFNMS25 Sept 11 grab
## 278 GFNMS26 Sept 12 grab
## 279 GFNMS27 Sep 22 grab
## 280 GFNMS28 (DUP for Manta) Sep 22 grab
## 281 LSB14 Mar 22 grab
## 282 LSB15 (corrected from LSB14 to LSB15) Mar 22 grab
## 283 LSB16 Aug 22 grab
## 284 LSB16 Mar 22 grab
## 285 MBNMS26 (GFNMS26 on bottle) Mar 22 grab
## 286 MBNMS28 (GFNMS28?) Mar 22 grab
## 287 MBNMS29 Mar 30 grab
## 288 MBNMS29 Nov 22 grab
## 289 MBNMS29 Sept 13 grab
## 290 MBNMS30 Mar 30 (Mar 31 for Manta) grab
## 291 MBNMS30 Sep 22 grab
## 292 MBNMS31 Mar 22 grab
## 293 MBNMS31 Sep 22 grab
## 294 MBNMS32 Mar 22 grab
## 295 MBNMS32 Sep 22 grab
## 296 SB10 Aug 22 grab
## 297 SB10 Mar 22 grab
## 298 SB11 Aug 22 grab
## 299 SB11 Mar 22 grab
## 300 SB12 Mar 19 grab
## 301 SB13 Aug 23 grab
## 302 SB13 Mar 22 grab
## 303 SPB2 Aug 21 2017 grab
## 304 SPB2 Nov 16 grab
## 305 SPB3 Aug 22 grab
## 306 SPB3 Nov 22 grab
## 307 SUB1 Aug 22 grab
## 308 SUB1 Nov 22 grab
## specific.location System general.location
## 1 Rodeo Creek at Seacliff Ct Pedestrian Br Estuary <NA>
## 2 Refugio Creek at Tsushima St Estuary <NA>
## 3 Coyote Creek Estuary <NA>
## 4 Colma Ck at S. Linden Blvd Estuary <NA>
## 5 Line 12K at Coliseum Entrance Estuary <NA>
## 6 Line 12F below PG&E station Estuary <NA>
## 7 Line 12J at mouth to 12K Estuary <NA>
## 8 Guadalupe River at Highway 101 Estuary <NA>
## 9 San Mateo Creek Estuary <NA>
## 10 Meeker Slough at Regatta Blvd Estuary <NA>
## 11 MMP-Storm-CB-Emery Estuary <NA>
## 12 12M Rep1 Estuary <NA>
## 13 <NA> Estuary <NA>
## 14 <NA> Estuary <NA>
## 15 <NA> Estuary <NA>
## 16 <NA> Estuary <NA>
## 17 <NA> Estuary <NA>
## 18 <NA> Estuary <NA>
## 19 <NA> Estuary <NA>
## 20 <NA> Estuary <NA>
## 21 <NA> Estuary <NA>
## 22 <NA> Estuary <NA>
## 23 <NA> Estuary <NA>
## 24 <NA> Estuary <NA>
## 25 <NA> Estuary <NA>
## 26 <NA> Estuary <NA>
## 27 <NA> Estuary <NA>
## 28 <NA> Estuary <NA>
## 29 <NA> Estuary <NA>
## 30 <NA> Estuary Lower South Bay
## 31 <NA> Estuary Lower South Bay
## 32 <NA> Estuary Lower South Bay
## 33 <NA> Estuary Lower South Bay
## 34 <NA> Estuary Lower South Bay
## 35 <NA> Estuary Lower South Bay
## 36 <NA> Estuary Lower South Bay
## 37 <NA> Estuary Lower South Bay
## 38 <NA> Estuary Lower South Bay
## 39 <NA> Estuary Lower South Bay
## 40 <NA> Estuary Lower South Bay
## 41 <NA> Estuary Lower South Bay
## 42 <NA> Estuary Lower South Bay
## 43 <NA> Estuary Lower South Bay
## 44 <NA> Estuary Tomales Bay
## 45 <NA> Estuary Tomales Bay
## 46 <NA> Estuary Tomales Bay
## 47 <NA> Estuary Tomales Bay
## 48 <NA> Estuary Tomales Bay
## 49 <NA> Estuary Tomales Bay
## 50 <NA> Estuary Tomales Bay
## 51 <NA> Estuary Tomales Bay
## 52 <NA> Estuary Tomales Bay
## 53 <NA> Estuary Tomales Bay
## 54 <NA> Estuary Tomales Bay
## 55 <NA> Estuary Tomales Bay
## 56 <NA> Estuary Tomales Bay
## 57 <NA> Estuary Tomales Bay
## 58 <NA> Estuary Tomales Bay
## 59 <NA> Estuary Tomales Bay
## 60 <NA> Estuary Tomales Bay
## 61 <NA> Estuary Tomales Bay
## 62 <NA> Estuary Tomales Bay
## 63 <NA> Estuary Tomales Bay
## 64 <NA> Estuary Tomales Bay
## 65 <NA> Estuary Tomales Bay
## 66 <NA> Estuary Tomales Bay
## 67 <NA> Estuary Tomales Bay
## 68 <NA> Estuary Tomales Bay
## 69 <NA> Estuary Tomales Bay
## 70 <NA> Estuary Tomales Bay
## 71 <NA> Estuary Tomales Bay
## 72 <NA> Estuary Tomales Bay
## 73 <NA> Estuary Tomales Bay
## 74 <NA> Estuary Central Bay
## 75 <NA> Estuary Central Bay
## 76 <NA> Estuary Central Bay
## 77 <NA> Estuary Central Bay
## 78 <NA> Estuary Central Bay
## 79 <NA> Estuary Central Bay
## 80 <NA> Estuary Central Bay
## 81 <NA> Estuary Central Bay
## 82 <NA> Estuary Central Bay
## 83 <NA> Estuary Central Bay
## 84 <NA> Estuary Central Bay
## 85 <NA> Estuary Central Bay
## 86 <NA> Estuary Central Bay
## 87 <NA> Estuary Central Bay
## 88 <NA> Estuary Central Bay
## 89 <NA> Estuary Central Bay
## 90 <NA> Estuary Central Bay
## 91 <NA> Estuary Central Bay
## 92 <NA> Estuary Central Bay
## 93 <NA> Estuary Central Bay
## 94 <NA> Estuary Central Bay
## 95 <NA> Estuary Central Bay
## 96 <NA> Estuary Central Bay
## 97 <NA> Estuary Central Bay
## 98 <NA> Estuary Central Bay
## 99 <NA> Estuary Central Bay
## 100 <NA> Estuary Central Bay
## 101 <NA> Estuary Central Bay
## 102 <NA> Estuary Central Bay
## 103 <NA> Estuary Central Bay
## 104 <NA> Estuary Central Bay
## 105 <NA> Estuary Central Bay
## 106 <NA> Estuary Central Bay
## 107 <NA> Estuary Central Bay
## 108 <NA> Estuary Central Bay
## 109 <NA> Estuary Central Bay
## 110 <NA> Estuary Central Bay
## 111 <NA> Estuary Central Bay
## 112 <NA> Estuary <NA>
## 113 <NA> Estuary <NA>
## 114 <NA> Estuary <NA>
## 115 <NA> Estuary <NA>
## 116 <NA> Estuary <NA>
## 117 <NA> Estuary <NA>
## 118 <NA> Estuary <NA>
## 119 <NA> Estuary <NA>
## 120 <NA> Estuary <NA>
## 121 <NA> Estuary <NA>
## 122 <NA> Estuary South Bay
## 123 <NA> Estuary South Bay
## 124 <NA> Estuary South Bay
## 125 <NA> Estuary South Bay
## 126 <NA> Estuary South Bay
## 127 <NA> Estuary South Bay
## 128 <NA> Estuary South Bay
## 129 <NA> Estuary South Bay
## 130 <NA> Estuary South Bay
## 131 <NA> Estuary South Bay
## 132 <NA> Estuary South Bay
## 133 <NA> Estuary South Bay
## 134 <NA> Estuary South Bay
## 135 <NA> Estuary South Bay
## 136 <NA> Estuary South Bay
## 137 <NA> Estuary South Bay
## 138 <NA> Estuary South Bay
## 139 <NA> Estuary South Bay
## 140 <NA> Estuary South Bay
## 141 <NA> Estuary South Bay
## 142 <NA> Estuary Central Bay
## 143 <NA> Estuary Central Bay
## 144 <NA> Estuary Central Bay
## 145 <NA> Estuary Central Bay
## 146 <NA> Estuary Central Bay
## 147 <NA> Estuary Central Bay
## 148 <NA> Estuary Central Bay
## 149 <NA> Estuary Central Bay
## 150 <NA> Estuary Central Bay
## 151 <NA> Estuary Central Bay
## 152 <NA> Estuary Central Bay
## 153 <NA> Estuary Central Bay
## 154 <NA> Estuary Central Bay
## 155 <NA> Estuary Central Bay
## 156 <NA> Estuary Central Bay
## 157 <NA> Estuary Central Bay
## 158 <NA> Estuary Central Bay
## 159 <NA> Estuary Central Bay
## 160 <NA> Estuary Central Bay
## 161 <NA> Estuary Central Bay
## 162 <NA> Estuary SOSL
## 163 <NA> Estuary SOSL
## 164 <NA> Estuary SOSL
## 165 <NA> Estuary SOSL
## 166 <NA> Estuary SOSL
## 167 <NA> Estuary SOSL
## 168 <NA> Estuary SOSL
## 169 <NA> Estuary SOSL
## 170 <NA> Estuary SOSL
## 171 <NA> Estuary SOSL
## 172 <NA> Estuary Tomales Bay
## 173 <NA> Estuary Tomales Bay
## 174 <NA> Estuary Tomales Bay
## 175 <NA> Estuary Tomales Bay
## 176 <NA> Estuary Tomales Bay
## 177 <NA> Estuary Tomales Bay
## 178 <NA> Estuary Tomales Bay
## 179 <NA> Estuary Tomales Bay
## 180 <NA> Estuary Tomales Bay
## 181 <NA> Estuary Tomales Bay
## 182 <NA> Estuary SC
## 183 <NA> Estuary Central Bay
## 184 <NA> Estuary Central Bay
## 185 <NA> Estuary Central Bay
## 186 <NA> Estuary Central Bay
## 187 <NA> Estuary Lower South Bay
## 188 <NA> Estuary Lower South Bay
## 189 <NA> Estuary Lower South Bay
## 190 <NA> Estuary SC
## 191 <NA> Estuary South Bay
## 192 <NA> Estuary South Bay
## 193 <NA> Estuary South Bay
## 194 <NA> Estuary SOSL
## 195 <NA> Estuary SOSL
## 196 <NA> Estuary SPB
## 197 <NA> Estuary SPB
## 198 <NA> Estuary SUB
## 199 <NA> Estuary SUB
## 200 <NA> Estuary Tomales Bay
## 201 <NA> Estuary Tomales Bay
## 202 <NA> Estuary Central Bay
## 203 <NA> Estuary Central Bay
## 204 <NA> Estuary Central Bay
## 205 <NA> Estuary Central Bay
## 206 <NA> Estuary Central Bay
## 207 <NA> Estuary Central Bay
## 208 <NA> Estuary Central Bay
## 209 <NA> Estuary Central Bay
## 210 <NA> Estuary Central Bay
## 211 <NA> Estuary Central Bay
## 212 <NA> Estuary Central Bay
## 213 <NA> Estuary Central Bay
## 214 <NA> Estuary Central Bay
## 215 <NA> Estuary National Marine Sancturay
## 216 <NA> Estuary National Marine Sancturay
## 217 <NA> Estuary National Marine Sancturay
## 218 <NA> Estuary National Marine Sancturay
## 219 <NA> Estuary National Marine Sancturay
## 220 <NA> Estuary National Marine Sancturay
## 221 <NA> Estuary National Marine Sancturay
## 222 <NA> Estuary National Marine Sancturay
## 223 <NA> Estuary National Marine Sancturay
## 224 <NA> Estuary National Marine Sancturay
## 225 <NA> Estuary National Marine Sancturay
## 226 <NA> Estuary National Marine Sancturay
## 227 <NA> Estuary National Marine Sancturay
## 228 <NA> Estuary National Marine Sancturay
## 229 <NA> Estuary Lower South Bay
## 230 <NA> Estuary Lower South Bay
## 231 <NA> Estuary Lower South Bay
## 232 <NA> Estuary Lower South Bay
## 233 <NA> Estuary Lower South Bay
## 234 <NA> Estuary Lower South Bay
## 235 <NA> Estuary National Marine Sancturay
## 236 <NA> Estuary National Marine Sancturay
## 237 <NA> Estuary National Marine Sancturay
## 238 <NA> Estuary National Marine Sancturay
## 239 <NA> Estuary National Marine Sancturay
## 240 <NA> Estuary National Marine Sancturay
## 241 <NA> Estuary National Marine Sancturay
## 242 <NA> Estuary National Marine Sancturay
## 243 <NA> Estuary National Marine Sancturay
## 244 <NA> Estuary National Marine Sancturay
## 245 <NA> Estuary South Bay
## 246 <NA> Estuary South Bay
## 247 <NA> Estuary South Bay
## 248 <NA> Estuary South Bay
## 249 <NA> Estuary South Bay
## 250 <NA> Estuary South Bay
## 251 <NA> Estuary South Bay
## 252 <NA> Estuary South Bay
## 253 <NA> Estuary Treasure Island
## 254 <NA> Estuary SPB
## 255 <NA> Estuary SPB
## 256 <NA> Estuary SPB
## 257 <NA> Estuary SPB
## 258 <NA> Estuary SUB
## 259 <NA> Estuary SUB
## 260 <NA> Estuary Central Bay
## 261 <NA> Estuary Central Bay
## 262 <NA> Estuary Central Bay
## 263 <NA> Estuary Central Bay
## 264 <NA> Estuary Central Bay
## 265 <NA> Estuary Central Bay
## 266 <NA> Estuary Central Bay
## 267 <NA> Estuary Central Bay
## 268 <NA> Estuary Central Bay
## 269 <NA> Estuary Central Bay
## 270 <NA> Estuary Central Bay
## 271 <NA> Estuary Central Bay
## 272 <NA> Estuary National Marine Sancturay
## 273 <NA> Estuary National Marine Sancturay
## 274 <NA> Estuary National Marine Sancturay
## 275 <NA> Estuary National Marine Sancturay
## 276 <NA> Estuary National Marine Sancturay
## 277 <NA> Estuary National Marine Sancturay
## 278 <NA> Estuary National Marine Sancturay
## 279 <NA> Estuary National Marine Sancturay
## 280 <NA> Estuary National Marine Sancturay
## 281 <NA> Estuary Lower South Bay
## 282 <NA> Estuary Lower South Bay
## 283 <NA> Estuary Lower South Bay
## 284 <NA> Estuary Lower South Bay
## 285 <NA> Estuary National Marine Sancturay
## 286 <NA> Estuary National Marine Sancturay
## 287 <NA> Estuary National Marine Sancturay
## 288 <NA> Estuary National Marine Sancturay
## 289 <NA> Estuary National Marine Sancturay
## 290 <NA> Estuary National Marine Sancturay
## 291 <NA> Estuary National Marine Sancturay
## 292 <NA> Estuary National Marine Sancturay
## 293 <NA> Estuary National Marine Sancturay
## 294 <NA> Estuary National Marine Sancturay
## 295 <NA> Estuary National Marine Sancturay
## 296 <NA> Estuary South Bay
## 297 <NA> Estuary South Bay
## 298 <NA> Estuary South Bay
## 299 <NA> Estuary South Bay
## 300 <NA> Estuary South Bay
## 301 <NA> Estuary South Bay
## 302 <NA> Estuary South Bay
## 303 <NA> Estuary SPB
## 304 <NA> Estuary SPB
## 305 <NA> Estuary SPB
## 306 <NA> Estuary SPB
## 307 <NA> Estuary SUB
## 308 <NA> Estuary SUB
## latitude longitude particles.L.blank.corrected
## 1 38.016 -122.254 1.6300000
## 2 38.018 -122.277 1.6500000
## 3 37.385832 -121.909581 7.2000000
## 4 37.65 -122.412 5.6300000
## 5 37.754 -122.204 4.9400000
## 6 37.762 -122.214 8.4300000
## 7 37.755 -122.201 10.0600000
## 8 37.37356 -121.93283 2.3100000
## 9 37.572638 -122.310769 1.0900000
## 10 37.917861 -122.33838 17.8400000
## 11 37.83429 -122.29349 12.3600000
## 12 37.746843 -122.200699 24.4100000
## 13 37.6952 -122.1858 0.0645000
## 14 37.6952 -122.1858 0.0115000
## 15 37.8236 -122.2956 0.1778000
## 16 37.8236 -122.2956 0.0421000
## 17 37.4527 -122.1108 0.0030000
## 18 37.4527 -122.1108 0.0054000
## 19 37.4332 -121.9522 0.0186000
## 20 37.4332 -121.9522 0.0233000
## 21 37.4193 -122.0162 0.0222000
## 22 37.9961 -122.0686 0.0778000
## 23 38.2233 -122.0829 0.0037000
## 24 38.2233 -122.0829 0.0055000
## 25 37.8236 -122.2956 0.1083000
## 26 37.7476 -122.3728 0.1593000
## 27 37.7476 -122.3728 0.1816000
## 28 37.4193 -122.0162 0.0075000
## 29 37.9961 -122.0686 0.0683000
## 30 37.4576 -122.0921 NA
## 31 37.4576 -122.0921 NA
## 32 37.4576 -122.0921 NA
## 33 37.4576 -122.0921 NA
## 34 37.4576 -122.0921 NA
## 35 37.4576 -122.0921 NA
## 36 37.4576 -122.0921 NA
## 37 37.4576 -122.0921 NA
## 38 37.4576 -122.0921 NA
## 39 37.4576 -122.0921 NA
## 40 37.4576 -122.0921 NA
## 41 37.4576 -122.0921 NA
## 42 37.4576 -122.0921 NA
## 43 37.4576 -122.0921 NA
## 44 38.2093 -122.9292 NA
## 45 38.2093 -122.9292 NA
## 46 38.2093 -122.9292 NA
## 47 38.2093 -122.9292 NA
## 48 38.2093 -122.9292 NA
## 49 38.2093 -122.9292 NA
## 50 38.2093 -122.9292 NA
## 51 38.2093 -122.9292 NA
## 52 38.2093 -122.9292 NA
## 53 38.2093 -122.9292 NA
## 54 38.0908 -122.8358 NA
## 55 38.0908 -122.8358 NA
## 56 38.0908 -122.8358 NA
## 57 38.0908 -122.8358 NA
## 58 38.0908 -122.8358 NA
## 59 38.0908 -122.8358 NA
## 60 38.0908 -122.8358 NA
## 61 38.0908 -122.8358 NA
## 62 38.0908 -122.8358 NA
## 63 38.0908 -122.8358 NA
## 64 38.2093 -122.9292 NA
## 65 38.2093 -122.9292 NA
## 66 38.2093 -122.9292 NA
## 67 38.2093 -122.9292 NA
## 68 38.2093 -122.9292 NA
## 69 38.2093 -122.9292 NA
## 70 38.2093 -122.9292 NA
## 71 38.2093 -122.9292 NA
## 72 38.2093 -122.9292 NA
## 73 38.2093 -122.9292 NA
## 74 37.7579 -122.3055 NA
## 75 37.7579 -122.3055 NA
## 76 37.7579 -122.3055 NA
## 77 37.7579 -122.3055 NA
## 78 37.7579 -122.3055 NA
## 79 37.7579 -122.3055 NA
## 80 37.7579 -122.3055 NA
## 81 37.7579 -122.3055 NA
## 82 37.7579 -122.3055 NA
## 83 37.7579 -122.3055 NA
## 84 37.7579 -122.3055 NA
## 85 37.7579 -122.3055 NA
## 86 37.7579 -122.3055 NA
## 87 37.7579 -122.3055 NA
## 88 37.7579 -122.3055 NA
## 89 37.7579 -122.3055 NA
## 90 37.7579 -122.3055 NA
## 91 37.7579 -122.3055 NA
## 92 37.7579 -122.3055 NA
## 93 37.7579 -122.3055 NA
## 94 37.9067 -122.3467 NA
## 95 37.9067 -122.3467 NA
## 96 37.9067 -122.3467 NA
## 97 37.9067 -122.3467 NA
## 98 37.9067 -122.3467 NA
## 99 37.9067 -122.3467 NA
## 100 37.9067 -122.3467 NA
## 101 37.9067 -122.3467 NA
## 102 37.9067 -122.3467 NA
## 103 37.9067 -122.3467 NA
## 104 37.9067 -122.3467 NA
## 105 37.9067 -122.3467 NA
## 106 37.9067 -122.3467 NA
## 107 37.9067 -122.3467 NA
## 108 37.9067 -122.3467 NA
## 109 37.9067 -122.3467 NA
## 110 37.9067 -122.3467 NA
## 111 37.9067 -122.3467 NA
## 112 37.4621 -122.0217 NA
## 113 37.4621 -122.0217 NA
## 114 37.4621 -122.0217 NA
## 115 37.4621 -122.0217 NA
## 116 37.4621 -122.0217 NA
## 117 37.4621 -122.0217 NA
## 118 37.4621 -122.0217 NA
## 119 37.4621 -122.0217 NA
## 120 37.4621 -122.0217 NA
## 121 37.4621 -122.0217 NA
## 122 37.5277 -122.184 NA
## 123 37.5277 -122.184 NA
## 124 37.5277 -122.184 NA
## 125 37.5277 -122.184 NA
## 126 37.5277 -122.184 NA
## 127 37.5277 -122.184 NA
## 128 37.5277 -122.184 NA
## 129 37.5277 -122.184 NA
## 130 37.5277 -122.184 NA
## 131 37.5277 -122.184 NA
## 132 37.5277 -122.184 NA
## 133 37.5277 -122.184 NA
## 134 37.5277 -122.184 NA
## 135 37.5277 -122.184 NA
## 136 37.5277 -122.184 NA
## 137 37.5277 -122.184 NA
## 138 37.5277 -122.184 NA
## 139 37.5277 -122.184 NA
## 140 37.5277 -122.184 NA
## 141 37.5277 -122.184 NA
## 142 37.6414 -122.3945 NA
## 143 37.6414 -122.3945 NA
## 144 37.6414 -122.3945 NA
## 145 37.6414 -122.3945 NA
## 146 37.6414 -122.3945 NA
## 147 37.6414 -122.3945 NA
## 148 37.6414 -122.3945 NA
## 149 37.6414 -122.3945 NA
## 150 37.6414 -122.3945 NA
## 151 37.6414 -122.3945 NA
## 152 37.6414 -122.3945 NA
## 153 37.6414 -122.3945 NA
## 154 37.6414 -122.3945 NA
## 155 37.6414 -122.3945 NA
## 156 37.6414 -122.3945 NA
## 157 37.6414 -122.3945 NA
## 158 37.6414 -122.3945 NA
## 159 37.6414 -122.3945 NA
## 160 37.6414 -122.3945 NA
## 161 37.6414 -122.3945 NA
## 162 37.4621 -122.0217 NA
## 163 37.4621 -122.0217 NA
## 164 37.4621 -122.0217 NA
## 165 37.4621 -122.0217 NA
## 166 37.4621 -122.0217 NA
## 167 37.4621 -122.0217 NA
## 168 37.4621 -122.0217 NA
## 169 37.4621 -122.0217 NA
## 170 37.4621 -122.0217 NA
## 171 37.4621 -122.0217 NA
## 172 38.0908 -122.8358 NA
## 173 38.0908 -122.8358 NA
## 174 38.0908 -122.8358 NA
## 175 38.0908 -122.8358 NA
## 176 38.0908 -122.8358 NA
## 177 38.0908 -122.8358 NA
## 178 38.0908 -122.8358 NA
## 179 38.0908 -122.8358 NA
## 180 38.0908 -122.8358 NA
## 181 38.0908 -122.8358 NA
## 182 37.8766 -122.3615 NA
## 183 37.9067 -122.3467 NA
## 184 37.8279 -122.3034 NA
## 185 37.7566 -122.2204 NA
## 186 37.6414 -122.3945 NA
## 187 37.4628 -122.105 NA
## 188 37.4864 -122.069 NA
## 189 37.4576 -122.092 NA
## 190 37.6104 -122.167 NA
## 191 37.6018 -122.362 NA
## 192 37.5605 -122.131 NA
## 193 37.5277 -122.184 NA
## 194 37.4576 -122.04 NA
## 195 37.4621 -122.022 NA
## 196 38.0157 -122.3002 NA
## 197 38.1084 -122.4881 NA
## 198 38.1362 -122.035 NA
## 199 38.0441 -122.0969 NA
## 200 38.2093 -122.9292 NA
## 201 38.0908 -122.8358 NA
## 202 37.92 -122.44 0.0000230
## 203 37.92 -122.43 0.0061140
## 204 37.84 -122.42 0.0004390
## 205 37.85 -122.41 0.0018880
## 206 37.85 -122.41 0.0005110
## 207 37.83 -122.32 0.0000830
## 208 37.83 -122.32 0.0004640
## 209 N/A N/A 0.0007740
## 210 37.78 -122.35 0.0007290
## 211 37.75 -122.23 0.0022650
## 212 37.75 -122.23 0.0043430
## 213 37.69 -122.29 0.0001880
## 214 37.69 -122.3 0.0555910
## 215 38.1 -123.11 0.0000880
## 216 38.11 -123.11 0.0001630
## 217 38.02 -123.33 0.0001260
## 218 38.03 -123.31 0.0001390
## 219 37.99 -123.5 0.0000000
## 220 N/A N/A 0.0000230
## 221 37.97 -122.93 0.0002180
## 222 37.97 -122.93 0.0000200
## 223 37.82 -123.02 0.0000790
## 224 37.82 -123.01 0.0001390
## 225 37.75 -123.26 0.0000780
## 226 37.73 -123.26 0.0000050
## 227 37.81 -122.76 0.0000960
## 228 37.81 -122.76 0.0000560
## 229 37.47 -122.06 0.0009820
## 230 37.48 -122.08 0.0002660
## 231 37.46 -122.08 0.0003570
## 232 37.47 -122.09 0.0002480
## 233 37.46 -122.03 0.0001530
## 234 37.45 -122.03 0.0005160
## 235 37.81 -122.47 0.0003960
## 236 37.79 -122.5 0.0002940
## 237 37.8 -122.5 0.0002730
## 238 37.81 -122.51 0.0000190
## 239 37.67 -122.61 0.0000380
## 240 37.67 -122.61 0.0000680
## 241 37.51 -122.57 0.0000540
## 242 37.51 -122.58 0.0000380
## 243 37.44 -122.93 0.0000680
## 244 37.45 -122.93 0.0000240
## 245 37.65 -122.24 0.0001120
## 246 37.65 -122.23 0.0002360
## 247 37.6 -122.25 0.0001810
## 248 37.59 -122.2 0.0026050
## 249 37.59 -122.28 0.0001280
## 250 37.58 -122.27 0.0004880
## 251 37.57 -122.21 0.0028990
## 252 37.56 -122.22 0.0013840
## 253 37.82 -122.36 0.0004260
## 254 38.05 -122.42 0.0000590
## 255 38.06 -122.42 0.0000920
## 256 38.64 -122.37 0.0006370
## 257 38.02 -122.37 0.0014090
## 258 38.11 -122.06 0.0000810
## 259 38.11 -122.06 0.0001310
## 260 37.9156 -122.4412 3.4653465
## 261 37.9229 -122.4330 2.7348777
## 262 37.8430 -122.4150 7.4331021
## 263 37.8445 -122.4069 0.6277464
## 264 37.8342 -122.3204 1.9509595
## 265 37.8339 -122.3221 4.9844237
## 266 N/A N/A 2.3251073
## 267 37.7795 -122.3537 1.5827794
## 268 37.7514 -122.2260 2.7035623
## 269 37.7505 -122.2278 2.5510204
## 270 37.6872 -122.2909 6.5789474
## 271 37.6936 -122.2991 18.7110187
## 272 38.1068 -123.1138 3.0000000
## 273 38.0346 -123.3131 1.6404199
## 274 37.9853 -123.4973 8.6715227
## 275 37.8128 -122.4723 0.6523157
## 276 37.9670 -122.9272 0.0000000
## 277 37.9695 -122.9270 1.8115942
## 278 37.8213 -123.0068 0.7095745
## 279 37.7327 -123.2630 1.2626263
## 280 37.8058 -122.7561 3.6647546
## 281 37.4801 -122.0781 3.0984997
## 282 37.4654 -122.0912 1.2795905
## 283 37.4528 -122.0331 7.6190476
## 284 37.4645 -122.0271 2.4122807
## 285 37.8208 -123.0177 13.5732323
## 286 37.8064 -122.7583 2.3832221
## 287 37.8053 -122.5082 0.9433962
## 288 37.7985 -122.5049 35.7031494
## 289 37.7935 -122.5030 2.2525988
## 290 37.6726 -122.6108 2.2022684
## 291 37.6718 -122.6110 1.6056519
## 292 37.5070 -122.5804 4.2694497
## 293 N/A N/A 3.5020694
## 294 37.4504 -122.9320 18.7659033
## 295 37.4446 -122.9280 6.2984496
## 296 37.6534 -122.2281 0.9980040
## 297 37.6500 -122.2433 6.1443932
## 298 37.5863 -122.2022 3.3460803
## 299 37.5983 -122.2502 1.5957447
## 300 37.5829 -122.2708 2.6666667
## 301 37.5649 -122.2227 4.3383948
## 302 37.5701 -122.2129 9.9313832
## 303 38.0513 -122.4218 3.3333333
## 304 38.0598 -122.4244 2.8333333
## 305 38.6405 -122.3716 5.0860720
## 306 38.0239 -122.3682 5.2430887
## 307 38.1071 -122.0563 2.7646130
## 308 38.1079 -122.0570 4.4275775
## particles.fish.blank.corrected particles.kg.blank.corrected sample.matrix
## 1 NA NA water
## 2 NA NA water
## 3 NA NA water
## 4 NA NA water
## 5 NA NA water
## 6 NA NA water
## 7 NA NA water
## 8 NA NA water
## 9 NA NA water
## 10 NA NA water
## 11 NA NA water
## 12 NA NA water
## 13 NA NA water
## 14 NA NA water
## 15 NA NA water
## 16 NA NA water
## 17 NA NA water
## 18 NA NA water
## 19 NA NA water
## 20 NA NA water
## 21 NA NA water
## 22 NA NA water
## 23 NA NA water
## 24 NA NA water
## 25 NA NA water
## 26 NA NA water
## 27 NA NA water
## 28 NA NA water
## 29 NA NA water
## 30 24.27 NA fish
## 31 6.60 NA fish
## 32 0.87 NA fish
## 33 1.00 NA fish
## 34 0.93 NA fish
## 35 3.53 NA fish
## 36 2.40 NA fish
## 37 45.07 NA fish
## 38 8.00 NA fish
## 39 11.67 NA fish
## 40 5.73 NA fish
## 41 5.87 NA fish
## 42 14.47 NA fish
## 43 1.80 NA fish
## 44 0.00 NA fish
## 45 0.00 NA fish
## 46 1.73 NA fish
## 47 0.13 NA fish
## 48 1.80 NA fish
## 49 1.00 NA fish
## 50 5.47 NA fish
## 51 3.87 NA fish
## 52 7.40 NA fish
## 53 6.00 NA fish
## 54 5.47 NA fish
## 55 3.60 NA fish
## 56 0.00 NA fish
## 57 2.00 NA fish
## 58 2.67 NA fish
## 59 1.60 NA fish
## 60 1.13 NA fish
## 61 1.60 NA fish
## 62 1.60 NA fish
## 63 0.87 NA fish
## 64 6.33 NA fish
## 65 0.13 NA fish
## 66 15.40 NA fish
## 67 11.27 NA fish
## 68 11.40 NA fish
## 69 3.27 NA fish
## 70 11.33 NA fish
## 71 1.87 NA fish
## 72 2.40 NA fish
## 73 1.00 NA fish
## 74 11.13 NA fish
## 75 9.07 NA fish
## 76 3.93 NA fish
## 77 8.87 NA fish
## 78 9.40 NA fish
## 79 3.40 NA fish
## 80 9.00 NA fish
## 81 16.40 NA fish
## 82 6.60 NA fish
## 83 1.80 NA fish
## 84 17.53 NA fish
## 85 17.27 NA fish
## 86 11.07 NA fish
## 87 24.00 NA fish
## 88 20.33 NA fish
## 89 14.53 NA fish
## 90 17.73 NA fish
## 91 9.53 NA fish
## 92 13.47 NA fish
## 93 14.60 NA fish
## 94 35.13 NA fish
## 95 20.40 NA fish
## 96 28.13 NA fish
## 97 13.13 NA fish
## 98 13.13 NA fish
## 99 5.73 NA fish
## 100 14.40 NA fish
## 101 15.07 NA fish
## 102 21.93 NA fish
## 103 7.40 NA fish
## 104 21.60 NA fish
## 105 35.40 NA fish
## 106 22.53 NA fish
## 107 6.67 NA fish
## 108 12.33 NA fish
## 109 18.87 NA fish
## 110 8.40 NA fish
## 111 3.40 NA fish
## 112 9.00 NA fish
## 113 0.73 NA fish
## 114 2.47 NA fish
## 115 7.27 NA fish
## 116 2.40 NA fish
## 117 1.67 NA fish
## 118 2.73 NA fish
## 119 5.40 NA fish
## 120 0.73 NA fish
## 121 1.67 NA fish
## 122 3.60 NA fish
## 123 1.73 NA fish
## 124 1.00 NA fish
## 125 1.67 NA fish
## 126 12.87 NA fish
## 127 4.53 NA fish
## 128 3.40 NA fish
## 129 3.73 NA fish
## 130 1.87 NA fish
## 131 4.73 NA fish
## 132 10.13 NA fish
## 133 27.13 NA fish
## 134 31.20 NA fish
## 135 35.13 NA fish
## 136 27.00 NA fish
## 137 24.00 NA fish
## 138 56.13 NA fish
## 139 16.27 NA fish
## 140 21.13 NA fish
## 141 28.13 NA fish
## 142 22.27 NA fish
## 143 9.27 NA fish
## 144 24.07 NA fish
## 145 7.40 NA fish
## 146 12.27 NA fish
## 147 7.13 NA fish
## 148 7.53 NA fish
## 149 7.87 NA fish
## 150 2.13 NA fish
## 151 1.93 NA fish
## 152 7.87 NA fish
## 153 1.53 NA fish
## 154 2.80 NA fish
## 155 8.40 NA fish
## 156 12.40 NA fish
## 157 3.87 NA fish
## 158 8.87 NA fish
## 159 6.47 NA fish
## 160 4.53 NA fish
## 161 2.87 NA fish
## 162 32.93 NA fish
## 163 15.60 NA fish
## 164 44.13 NA fish
## 165 17.47 NA fish
## 166 4.00 NA fish
## 167 6.53 NA fish
## 168 8.80 NA fish
## 169 10.27 NA fish
## 170 7.80 NA fish
## 171 0.80 NA fish
## 172 20.47 NA fish
## 173 13.33 NA fish
## 174 4.27 NA fish
## 175 2.60 NA fish
## 176 6.40 NA fish
## 177 6.47 NA fish
## 178 1.00 NA fish
## 179 3.73 NA fish
## 180 2.27 NA fish
## 181 5.60 NA fish
## 182 NA 425.56 sediment
## 183 NA 1140.55 sediment
## 184 NA 1610.94 sediment
## 185 NA 12095.68 sediment
## 186 NA 2730.69 sediment
## 187 NA 42104.17 sediment
## 188 NA 3647.26 sediment
## 189 NA 7108.70 sediment
## 190 NA 2893.81 sediment
## 191 NA 835.84 sediment
## 192 NA 26.67 sediment
## 193 NA 313.33 sediment
## 194 NA 9270.83 sediment
## 195 NA 7045.45 sediment
## 196 NA 567.78 sediment
## 197 NA 1028.07 sediment
## 198 NA 250.00 sediment
## 199 NA 131.02 sediment
## 200 NA 100.07 sediment
## 201 NA 216.38 sediment
## 202 NA NA water
## 203 NA NA water
## 204 NA NA water
## 205 NA NA water
## 206 NA NA water
## 207 NA NA water
## 208 NA NA water
## 209 NA NA water
## 210 NA NA water
## 211 NA NA water
## 212 NA NA water
## 213 NA NA water
## 214 NA NA water
## 215 NA NA water
## 216 NA NA water
## 217 NA NA water
## 218 NA NA water
## 219 NA NA water
## 220 NA NA water
## 221 NA NA water
## 222 NA NA water
## 223 NA NA water
## 224 NA NA water
## 225 NA NA water
## 226 NA NA water
## 227 NA NA water
## 228 NA NA water
## 229 NA NA water
## 230 NA NA water
## 231 NA NA water
## 232 NA NA water
## 233 NA NA water
## 234 NA NA water
## 235 NA NA water
## 236 NA NA water
## 237 NA NA water
## 238 NA NA water
## 239 NA NA water
## 240 NA NA water
## 241 NA NA water
## 242 NA NA water
## 243 NA NA water
## 244 NA NA water
## 245 NA NA water
## 246 NA NA water
## 247 NA NA water
## 248 NA NA water
## 249 NA NA water
## 250 NA NA water
## 251 NA NA water
## 252 NA NA water
## 253 NA NA water
## 254 NA NA water
## 255 NA NA water
## 256 NA NA water
## 257 NA NA water
## 258 NA NA water
## 259 NA NA water
## 260 NA NA water
## 261 NA NA water
## 262 NA NA water
## 263 NA NA water
## 264 NA NA water
## 265 NA NA water
## 266 NA NA water
## 267 NA NA water
## 268 NA NA water
## 269 NA NA water
## 270 NA NA water
## 271 NA NA water
## 272 NA NA water
## 273 NA NA water
## 274 NA NA water
## 275 NA NA water
## 276 NA NA water
## 277 NA NA water
## 278 NA NA water
## 279 NA NA water
## 280 NA NA water
## 281 NA NA water
## 282 NA NA water
## 283 NA NA water
## 284 NA NA water
## 285 NA NA water
## 286 NA NA water
## 287 NA NA water
## 288 NA NA water
## 289 NA NA water
## 290 NA NA water
## 291 NA NA water
## 292 NA NA water
## 293 NA NA water
## 294 NA NA water
## 295 NA NA water
## 296 NA NA water
## 297 NA NA water
## 298 NA NA water
## 299 NA NA water
## 300 NA NA water
## 301 NA NA water
## 302 NA NA water
## 303 NA NA water
## 304 NA NA water
## 305 NA NA water
## 306 NA NA water
## 307 NA NA water
## 308 NA NA water
## sample.matrix.specific Sampling.apparatus x1M x2M
## 1 stormwater depth-integrated perisaltic pump 106 5000
## 2 stormwater depth-integrated perisaltic pump 106 5000
## 3 stormwater depth-integrated perisaltic pump 106 5000
## 4 stormwater depth-integrated perisaltic pump 106 5000
## 5 stormwater depth-integrated perisaltic pump 106 5000
## 6 stormwater depth-integrated perisaltic pump 106 5000
## 7 stormwater depth-integrated perisaltic pump 106 5000
## 8 stormwater depth-integrated perisaltic pump 106 5000
## 9 stormwater depth-integrated perisaltic pump 106 5000
## 10 stormwater depth-integrated perisaltic pump 106 5000
## 11 stormwater depth-integrated perisaltic pump 106 5000
## 12 stormwater depth-integrated perisaltic pump 106 5000
## 13 wastewater Composite 110 5000
## 14 wastewater Composite 110 5000
## 15 wastewater Composite 110 5000
## 16 wastewater Composite 110 5000
## 17 wastewater Composite 110 5000
## 18 wastewater Composite 110 5000
## 19 wastewater Composite 110 5000
## 20 wastewater Composite 110 5000
## 21 wastewater Composite 110 5000
## 22 wastewater Composite 110 5000
## 23 wastewater Composite 110 5000
## 24 wastewater Composite 110 5000
## 25 wastewater Composite 110 5000
## 26 wastewater Composite 110 5000
## 27 wastewater Composite 110 5000
## 28 wastewater Composite 110 5000
## 29 wastewater Composite 110 5000
## 30 anchovy otter trawl/cast net 25 5000
## 31 anchovy otter trawl/cast net 25 5000
## 32 anchovy otter trawl/cast net 25 5000
## 33 topsmelt otter trawl/cast net 25 5000
## 34 topsmelt otter trawl/cast net 25 5000
## 35 topsmelt otter trawl/cast net 25 5000
## 36 topsmelt otter trawl/cast net 25 5000
## 37 anchovy otter trawl/cast net 25 5000
## 38 topsmelt otter trawl/cast net 25 5000
## 39 topsmelt otter trawl/cast net 25 5000
## 40 topsmelt otter trawl/cast net 25 5000
## 41 topsmelt otter trawl/cast net 25 5000
## 42 topsmelt otter trawl/cast net 25 5000
## 43 topsmelt otter trawl/cast net 25 5000
## 44 anchovy otter trawl/cast net 25 5000
## 45 anchovy otter trawl/cast net 25 5000
## 46 anchovy otter trawl/cast net 25 5000
## 47 anchovy otter trawl/cast net 25 5000
## 48 anchovy otter trawl/cast net 25 5000
## 49 anchovy otter trawl/cast net 25 5000
## 50 anchovy otter trawl/cast net 25 5000
## 51 anchovy otter trawl/cast net 25 5000
## 52 anchovy otter trawl/cast net 25 5000
## 53 anchovy otter trawl/cast net 25 5000
## 54 anchovy otter trawl/cast net 25 5000
## 55 anchovy otter trawl/cast net 25 5000
## 56 anchovy otter trawl/cast net 25 5000
## 57 anchovy otter trawl/cast net 25 5000
## 58 anchovy otter trawl/cast net 25 5000
## 59 anchovy otter trawl/cast net 25 5000
## 60 anchovy otter trawl/cast net 25 5000
## 61 anchovy otter trawl/cast net 25 5000
## 62 anchovy otter trawl/cast net 25 5000
## 63 anchovy otter trawl/cast net 25 5000
## 64 topsmelt otter trawl/cast net 25 5000
## 65 topsmelt otter trawl/cast net 25 5000
## 66 topsmelt otter trawl/cast net 25 5000
## 67 topsmelt otter trawl/cast net 25 5000
## 68 topsmelt otter trawl/cast net 25 5000
## 69 topsmelt otter trawl/cast net 25 5000
## 70 topsmelt otter trawl/cast net 25 5000
## 71 topsmelt otter trawl/cast net 25 5000
## 72 topsmelt otter trawl/cast net 25 5000
## 73 topsmelt otter trawl/cast net 25 5000
## 74 topsmelt otter trawl/cast net 25 5000
## 75 topsmelt otter trawl/cast net 25 5000
## 76 topsmelt otter trawl/cast net 25 5000
## 77 topsmelt otter trawl/cast net 25 5000
## 78 topsmelt otter trawl/cast net 25 5000
## 79 topsmelt otter trawl/cast net 25 5000
## 80 topsmelt otter trawl/cast net 25 5000
## 81 topsmelt otter trawl/cast net 25 5000
## 82 topsmelt otter trawl/cast net 25 5000
## 83 topsmelt otter trawl/cast net 25 5000
## 84 anchovy otter trawl/cast net 25 5000
## 85 anchovy otter trawl/cast net 25 5000
## 86 anchovy otter trawl/cast net 25 5000
## 87 anchovy otter trawl/cast net 25 5000
## 88 anchovy otter trawl/cast net 25 5000
## 89 anchovy otter trawl/cast net 25 5000
## 90 anchovy otter trawl/cast net 25 5000
## 91 anchovy otter trawl/cast net 25 5000
## 92 anchovy otter trawl/cast net 25 5000
## 93 anchovy otter trawl/cast net 25 5000
## 94 anchovy otter trawl/cast net 25 5000
## 95 anchovy otter trawl/cast net 25 5000
## 96 anchovy otter trawl/cast net 25 5000
## 97 anchovy otter trawl/cast net 25 5000
## 98 anchovy otter trawl/cast net 25 5000
## 99 anchovy otter trawl/cast net 25 5000
## 100 anchovy otter trawl/cast net 25 5000
## 101 anchovy otter trawl/cast net 25 5000
## 102 anchovy otter trawl/cast net 25 5000
## 103 anchovy otter trawl/cast net 25 5000
## 104 topsmelt otter trawl/cast net 25 5000
## 105 topsmelt otter trawl/cast net 25 5000
## 106 topsmelt otter trawl/cast net 25 5000
## 107 topsmelt otter trawl/cast net 25 5000
## 108 topsmelt otter trawl/cast net 25 5000
## 109 topsmelt otter trawl/cast net 25 5000
## 110 topsmelt otter trawl/cast net 25 5000
## 111 topsmelt otter trawl/cast net 25 5000
## 112 anchovy otter trawl/cast net 25 5000
## 113 anchovy otter trawl/cast net 25 5000
## 114 anchovy otter trawl/cast net 25 5000
## 115 anchovy otter trawl/cast net 25 5000
## 116 anchovy otter trawl/cast net 25 5000
## 117 anchovy otter trawl/cast net 25 5000
## 118 anchovy otter trawl/cast net 25 5000
## 119 anchovy otter trawl/cast net 25 5000
## 120 anchovy otter trawl/cast net 25 5000
## 121 anchovy otter trawl/cast net 25 5000
## 122 anchovy otter trawl/cast net 25 5000
## 123 anchovy otter trawl/cast net 25 5000
## 124 anchovy otter trawl/cast net 25 5000
## 125 anchovy otter trawl/cast net 25 5000
## 126 anchovy otter trawl/cast net 25 5000
## 127 anchovy otter trawl/cast net 25 5000
## 128 anchovy otter trawl/cast net 25 5000
## 129 anchovy otter trawl/cast net 25 5000
## 130 anchovy otter trawl/cast net 25 5000
## 131 anchovy otter trawl/cast net 25 5000
## 132 topsmelt otter trawl/cast net 25 5000
## 133 topsmelt otter trawl/cast net 25 5000
## 134 topsmelt otter trawl/cast net 25 5000
## 135 topsmelt otter trawl/cast net 25 5000
## 136 topsmelt otter trawl/cast net 25 5000
## 137 topsmelt otter trawl/cast net 25 5000
## 138 topsmelt otter trawl/cast net 25 5000
## 139 topsmelt otter trawl/cast net 25 5000
## 140 topsmelt otter trawl/cast net 25 5000
## 141 topsmelt otter trawl/cast net 25 5000
## 142 anchovy otter trawl/cast net 25 5000
## 143 anchovy otter trawl/cast net 25 5000
## 144 anchovy otter trawl/cast net 25 5000
## 145 anchovy otter trawl/cast net 25 5000
## 146 anchovy otter trawl/cast net 25 5000
## 147 anchovy otter trawl/cast net 25 5000
## 148 anchovy otter trawl/cast net 25 5000
## 149 anchovy otter trawl/cast net 25 5000
## 150 anchovy otter trawl/cast net 25 5000
## 151 anchovy otter trawl/cast net 25 5000
## 152 topsmelt otter trawl/cast net 25 5000
## 153 topsmelt otter trawl/cast net 25 5000
## 154 topsmelt otter trawl/cast net 25 5000
## 155 topsmelt otter trawl/cast net 25 5000
## 156 topsmelt otter trawl/cast net 25 5000
## 157 topsmelt otter trawl/cast net 25 5000
## 158 topsmelt otter trawl/cast net 25 5000
## 159 topsmelt otter trawl/cast net 25 5000
## 160 topsmelt otter trawl/cast net 25 5000
## 161 topsmelt otter trawl/cast net 25 5000
## 162 topsmelt otter trawl/cast net 25 5000
## 163 topsmelt otter trawl/cast net 25 5000
## 164 topsmelt otter trawl/cast net 25 5000
## 165 topsmelt otter trawl/cast net 25 5000
## 166 topsmelt otter trawl/cast net 25 5000
## 167 topsmelt otter trawl/cast net 25 5000
## 168 topsmelt otter trawl/cast net 25 5000
## 169 topsmelt otter trawl/cast net 25 5000
## 170 topsmelt otter trawl/cast net 25 5000
## 171 topsmelt otter trawl/cast net 25 5000
## 172 topsmelt otter trawl/cast net 25 5000
## 173 topsmelt otter trawl/cast net 25 5000
## 174 topsmelt otter trawl/cast net 25 5000
## 175 topsmelt otter trawl/cast net 25 5000
## 176 topsmelt otter trawl/cast net 25 5000
## 177 topsmelt otter trawl/cast net 25 5000
## 178 topsmelt otter trawl/cast net 25 5000
## 179 topsmelt otter trawl/cast net 25 5000
## 180 topsmelt otter trawl/cast net 25 5000
## 181 topsmelt otter trawl/cast net 25 5000
## 182 sediment Van Veen Grab 45 5000
## 183 sediment Van Veen Grab 45 5000
## 184 sediment Van Veen Grab 45 5000
## 185 sediment Van Veen Grab 45 5000
## 186 sediment Van Veen Grab 45 5000
## 187 sediment Van Veen Grab 45 5000
## 188 sediment Van Veen Grab 45 5000
## 189 sediment Van Veen Grab 45 5000
## 190 sediment Van Veen Grab 45 5000
## 191 sediment Van Veen Grab 45 5000
## 192 sediment Van Veen Grab 45 5000
## 193 sediment Van Veen Grab 45 5000
## 194 sediment Van Veen Grab 45 5000
## 195 sediment Van Veen Grab 45 5000
## 196 sediment Van Veen Grab 45 5000
## 197 sediment Van Veen Grab 45 5000
## 198 sediment Van Veen Grab 45 5000
## 199 sediment Van Veen Grab 45 5000
## 200 sediment Van Veen Grab 45 5000
## 201 sediment Van Veen Grab 45 5000
## 202 surface water Manta Trawl 333 5000
## 203 surface water Manta Trawl 333 5000
## 204 surface water Manta Trawl 333 5000
## 205 surface water Manta Trawl 333 5000
## 206 surface water Manta Trawl 333 5000
## 207 surface water Manta Trawl 333 5000
## 208 surface water Manta Trawl 333 5000
## 209 surface water Manta Trawl 333 5000
## 210 surface water Manta Trawl 333 5000
## 211 surface water Manta Trawl 333 5000
## 212 surface water Manta Trawl 333 5000
## 213 surface water Manta Trawl 333 5000
## 214 surface water Manta Trawl 333 5000
## 215 surface water Manta Trawl 333 5000
## 216 surface water Manta Trawl 333 5000
## 217 surface water Manta Trawl 333 5000
## 218 surface water Manta Trawl 333 5000
## 219 surface water Manta Trawl 333 5000
## 220 surface water Manta Trawl 333 5000
## 221 surface water Manta Trawl 333 5000
## 222 surface water Manta Trawl 333 5000
## 223 surface water Manta Trawl 333 5000
## 224 surface water Manta Trawl 333 5000
## 225 surface water Manta Trawl 333 5000
## 226 surface water Manta Trawl 333 5000
## 227 surface water Manta Trawl 333 5000
## 228 surface water Manta Trawl 333 5000
## 229 surface water Manta Trawl 333 5000
## 230 surface water Manta Trawl 333 5000
## 231 surface water Manta Trawl 333 5000
## 232 surface water Manta Trawl 333 5000
## 233 surface water Manta Trawl 333 5000
## 234 surface water Manta Trawl 333 5000
## 235 surface water Manta Trawl 333 5000
## 236 surface water Manta Trawl 333 5000
## 237 surface water Manta Trawl 333 5000
## 238 surface water Manta Trawl 333 5000
## 239 surface water Manta Trawl 333 5000
## 240 surface water Manta Trawl 333 5000
## 241 surface water Manta Trawl 333 5000
## 242 surface water Manta Trawl 333 5000
## 243 surface water Manta Trawl 333 5000
## 244 surface water Manta Trawl 333 5000
## 245 surface water Manta Trawl 333 5000
## 246 surface water Manta Trawl 333 5000
## 247 surface water Manta Trawl 333 5000
## 248 surface water Manta Trawl 333 5000
## 249 surface water Manta Trawl 333 5000
## 250 surface water Manta Trawl 333 5000
## 251 surface water Manta Trawl 333 5000
## 252 surface water Manta Trawl 333 5000
## 253 surface water Manta Trawl 333 5000
## 254 surface water Manta Trawl 333 5000
## 255 surface water Manta Trawl 333 5000
## 256 surface water Manta Trawl 333 5000
## 257 surface water Manta Trawl 333 5000
## 258 surface water Manta Trawl 333 5000
## 259 surface water Manta Trawl 333 5000
## 260 surface water 1-L grab 50 5000
## 261 surface water 1-L grab 50 5000
## 262 surface water 1-L grab 50 5000
## 263 surface water 1-L grab 50 5000
## 264 surface water 1-L grab 50 5000
## 265 surface water 1-L grab 50 5000
## 266 surface water 1-L grab 50 5000
## 267 surface water 1-L grab 50 5000
## 268 surface water 1-L grab 50 5000
## 269 surface water 1-L grab 50 5000
## 270 surface water 1-L grab 50 5000
## 271 surface water 1-L grab 50 5000
## 272 surface water 1-L grab 50 5000
## 273 surface water 1-L grab 50 5000
## 274 surface water 1-L grab 50 5000
## 275 surface water 1-L grab 50 5000
## 276 surface water 1-L grab 50 5000
## 277 surface water 1-L grab 50 5000
## 278 surface water 1-L grab 50 5000
## 279 surface water 1-L grab 50 5000
## 280 surface water 1-L grab 50 5000
## 281 surface water 1-L grab 50 5000
## 282 surface water 1-L grab 50 5000
## 283 surface water 1-L grab 50 5000
## 284 surface water 1-L grab 50 5000
## 285 surface water 1-L grab 50 5000
## 286 surface water 1-L grab 50 5000
## 287 surface water 1-L grab 50 5000
## 288 surface water 1-L grab 50 5000
## 289 surface water 1-L grab 50 5000
## 290 surface water 1-L grab 50 5000
## 291 surface water 1-L grab 50 5000
## 292 surface water 1-L grab 50 5000
## 293 surface water 1-L grab 50 5000
## 294 surface water 1-L grab 50 5000
## 295 surface water 1-L grab 50 5000
## 296 surface water 1-L grab 50 5000
## 297 surface water 1-L grab 50 5000
## 298 surface water 1-L grab 50 5000
## 299 surface water 1-L grab 50 5000
## 300 surface water 1-L grab 50 5000
## 301 surface water 1-L grab 50 5000
## 302 surface water 1-L grab 50 5000
## 303 surface water 1-L grab 50 5000
## 304 surface water 1-L grab 50 5000
## 305 surface water 1-L grab 50 5000
## 306 surface water 1-L grab 50 5000
## 307 surface water 1-L grab 50 5000
## 308 surface water 1-L grab 50 5000
## Sample.Type season fiber.correction.factor fiber.correction.factor.sd
## 1 sample <NA> 1.000000 NA
## 2 sample <NA> 1.000000 NA
## 3 sample <NA> 1.000000 NA
## 4 sample <NA> 1.000000 NA
## 5 sample <NA> 1.000000 NA
## 6 sample <NA> 1.000000 NA
## 7 sample <NA> 1.000000 NA
## 8 sample <NA> 1.000000 NA
## 9 sample <NA> 1.000000 NA
## 10 sample <NA> 1.000000 NA
## 11 sample <NA> 1.000000 NA
## 12 sample <NA> 1.000000 NA
## 13 sample dry 1.000000 NA
## 14 sample dry 1.000000 NA
## 15 sample dry 1.000000 NA
## 16 sample dry 1.000000 NA
## 17 sample dry 1.000000 NA
## 18 sample <NA> 1.000000 NA
## 19 sample dry 1.000000 NA
## 20 sample dry 1.000000 NA
## 21 sample dry 1.000000 NA
## 22 sample dry 1.000000 NA
## 23 sample dry 1.000000 NA
## 24 sample dry 1.000000 NA
## 25 sample <NA> 1.000000 NA
## 26 sample wet 1.000000 NA
## 27 sample wet 1.000000 NA
## 28 sample <NA> 1.000000 NA
## 29 sample wet 1.000000 NA
## 30 sample <NA> 1.000000 NA
## 31 sample <NA> 1.000000 NA
## 32 sample <NA> 1.000000 NA
## 33 sample <NA> 1.000000 NA
## 34 sample <NA> 1.000000 NA
## 35 sample <NA> 1.000000 NA
## 36 sample <NA> 1.000000 NA
## 37 sample <NA> 1.000000 NA
## 38 sample <NA> 1.000000 NA
## 39 sample <NA> 1.000000 NA
## 40 sample <NA> 1.000000 NA
## 41 sample <NA> 1.000000 NA
## 42 sample <NA> 1.000000 NA
## 43 sample <NA> 1.000000 NA
## 44 sample <NA> 1.000000 NA
## 45 sample <NA> 1.000000 NA
## 46 sample <NA> 1.000000 NA
## 47 sample <NA> 1.000000 NA
## 48 sample <NA> 1.000000 NA
## 49 sample <NA> 1.000000 NA
## 50 sample <NA> 1.000000 NA
## 51 sample <NA> 1.000000 NA
## 52 sample <NA> 1.000000 NA
## 53 sample <NA> 1.000000 NA
## 54 sample <NA> 1.000000 NA
## 55 sample <NA> 1.000000 NA
## 56 sample <NA> 1.000000 NA
## 57 sample <NA> 1.000000 NA
## 58 sample <NA> 1.000000 NA
## 59 sample <NA> 1.000000 NA
## 60 sample <NA> 1.000000 NA
## 61 sample <NA> 1.000000 NA
## 62 sample <NA> 1.000000 NA
## 63 sample <NA> 1.000000 NA
## 64 sample <NA> 1.000000 NA
## 65 sample <NA> 1.000000 NA
## 66 sample <NA> 1.000000 NA
## 67 sample <NA> 1.000000 NA
## 68 sample <NA> 1.000000 NA
## 69 sample <NA> 1.000000 NA
## 70 sample <NA> 1.000000 NA
## 71 sample <NA> 1.000000 NA
## 72 sample <NA> 1.000000 NA
## 73 sample <NA> 1.000000 NA
## 74 sample <NA> 1.000000 NA
## 75 sample <NA> 1.000000 NA
## 76 sample <NA> 1.000000 NA
## 77 sample <NA> 1.000000 NA
## 78 sample <NA> 1.000000 NA
## 79 sample <NA> 1.000000 NA
## 80 sample <NA> 1.000000 NA
## 81 sample <NA> 1.000000 NA
## 82 sample <NA> 1.000000 NA
## 83 sample <NA> 1.000000 NA
## 84 sample <NA> 1.000000 NA
## 85 sample <NA> 1.000000 NA
## 86 sample <NA> 1.000000 NA
## 87 sample <NA> 1.000000 NA
## 88 sample <NA> 1.000000 NA
## 89 sample <NA> 1.000000 NA
## 90 sample <NA> 1.000000 NA
## 91 sample <NA> 1.000000 NA
## 92 sample <NA> 1.000000 NA
## 93 sample <NA> 1.000000 NA
## 94 sample <NA> 1.000000 NA
## 95 sample <NA> 1.000000 NA
## 96 sample <NA> 1.000000 NA
## 97 sample <NA> 1.000000 NA
## 98 sample <NA> 1.000000 NA
## 99 sample <NA> 1.000000 NA
## 100 sample <NA> 1.000000 NA
## 101 sample <NA> 1.000000 NA
## 102 sample <NA> 1.000000 NA
## 103 sample <NA> 1.000000 NA
## 104 sample <NA> 1.000000 NA
## 105 sample <NA> 1.000000 NA
## 106 sample <NA> 1.000000 NA
## 107 sample <NA> 1.000000 NA
## 108 sample <NA> 1.000000 NA
## 109 sample <NA> 1.000000 NA
## 110 sample <NA> 1.000000 NA
## 111 sample <NA> 1.000000 NA
## 112 sample <NA> 1.000000 NA
## 113 sample <NA> 1.000000 NA
## 114 sample <NA> 1.000000 NA
## 115 sample <NA> 1.000000 NA
## 116 sample <NA> 1.000000 NA
## 117 sample <NA> 1.000000 NA
## 118 sample <NA> 1.000000 NA
## 119 sample <NA> 1.000000 NA
## 120 sample <NA> 1.000000 NA
## 121 sample <NA> 1.000000 NA
## 122 sample <NA> 1.000000 NA
## 123 sample <NA> 1.000000 NA
## 124 sample <NA> 1.000000 NA
## 125 sample <NA> 1.000000 NA
## 126 sample <NA> 1.000000 NA
## 127 sample <NA> 1.000000 NA
## 128 sample <NA> 1.000000 NA
## 129 sample <NA> 1.000000 NA
## 130 sample <NA> 1.000000 NA
## 131 sample <NA> 1.000000 NA
## 132 sample <NA> 1.000000 NA
## 133 sample <NA> 1.000000 NA
## 134 sample <NA> 1.000000 NA
## 135 sample <NA> 1.000000 NA
## 136 sample <NA> 1.000000 NA
## 137 sample <NA> 1.000000 NA
## 138 sample <NA> 1.000000 NA
## 139 sample <NA> 1.000000 NA
## 140 sample <NA> 1.000000 NA
## 141 sample <NA> 1.000000 NA
## 142 sample <NA> 1.000000 NA
## 143 sample <NA> 1.000000 NA
## 144 sample <NA> 1.000000 NA
## 145 sample <NA> 1.000000 NA
## 146 sample <NA> 1.000000 NA
## 147 sample <NA> 1.000000 NA
## 148 sample <NA> 1.000000 NA
## 149 sample <NA> 1.000000 NA
## 150 sample <NA> 1.000000 NA
## 151 sample <NA> 1.000000 NA
## 152 sample <NA> 1.000000 NA
## 153 sample <NA> 1.000000 NA
## 154 sample <NA> 1.000000 NA
## 155 sample <NA> 1.000000 NA
## 156 sample <NA> 1.000000 NA
## 157 sample <NA> 1.000000 NA
## 158 sample <NA> 1.000000 NA
## 159 sample <NA> 1.000000 NA
## 160 sample <NA> 1.000000 NA
## 161 sample <NA> 1.000000 NA
## 162 sample <NA> 1.000000 NA
## 163 sample <NA> 1.000000 NA
## 164 sample <NA> 1.000000 NA
## 165 sample <NA> 1.000000 NA
## 166 sample <NA> 1.000000 NA
## 167 sample <NA> 1.000000 NA
## 168 sample <NA> 1.000000 NA
## 169 sample <NA> 1.000000 NA
## 170 sample <NA> 1.000000 NA
## 171 sample <NA> 1.000000 NA
## 172 sample <NA> 1.000000 NA
## 173 sample <NA> 1.000000 NA
## 174 sample <NA> 1.000000 NA
## 175 sample <NA> 1.000000 NA
## 176 sample <NA> 1.000000 NA
## 177 sample <NA> 1.000000 NA
## 178 sample <NA> 1.000000 NA
## 179 sample <NA> 1.000000 NA
## 180 sample <NA> 1.000000 NA
## 181 sample <NA> 1.000000 NA
## 182 sample <NA> 1.000000 NA
## 183 sample <NA> 1.000000 NA
## 184 sample <NA> 1.000000 NA
## 185 sample <NA> 1.000000 NA
## 186 sample <NA> 1.000000 NA
## 187 sample <NA> 1.000000 NA
## 188 sample <NA> 1.000000 NA
## 189 sample <NA> 1.000000 NA
## 190 sample <NA> 1.000000 NA
## 191 sample <NA> 1.000000 NA
## 192 sample <NA> 1.000000 NA
## 193 sample <NA> 1.000000 NA
## 194 sample <NA> 1.000000 NA
## 195 sample <NA> 1.000000 NA
## 196 sample <NA> 1.000000 NA
## 197 sample <NA> 1.000000 NA
## 198 sample <NA> 1.000000 NA
## 199 sample <NA> 1.000000 NA
## 200 sample <NA> 1.000000 NA
## 201 sample <NA> 1.000000 NA
## 202 sample dry 4.598399 1.393976
## 203 sample wet 4.598399 1.393976
## 204 sample dry 4.598399 1.393976
## 205 sample wet 4.598399 1.393976
## 206 sample wet 4.598399 1.393976
## 207 sample dry 4.598399 1.393976
## 208 sample wet 4.598399 1.393976
## 209 sample dry 4.598399 1.393976
## 210 sample wet 4.598399 1.393976
## 211 sample dry 4.598399 1.393976
## 212 sample wet 4.598399 1.393976
## 213 sample dry 4.598399 1.393976
## 214 sample wet 4.598399 1.393976
## 215 sample wet 4.598399 1.393976
## 216 sample dry 4.598399 1.393976
## 217 sample wet 4.598399 1.393976
## 218 sample dry 4.598399 1.393976
## 219 sample dry 4.598399 1.393976
## 220 sample wet 4.598399 1.393976
## 221 sample wet 4.598399 1.393976
## 222 sample dry 4.598399 1.393976
## 223 sample wet 4.598399 1.393976
## 224 sample dry 4.598399 1.393976
## 225 sample wet 4.598399 1.393976
## 226 sample dry 4.598399 1.393976
## 227 sample wet 4.598399 1.393976
## 228 sample dry 4.598399 1.393976
## 229 sample dry 4.598399 1.393976
## 230 sample wet 4.598399 1.393976
## 231 sample dry 4.598399 1.393976
## 232 sample wet 4.598399 1.393976
## 233 sample dry 4.598399 1.393976
## 234 sample wet 4.598399 1.393976
## 235 sample wet 4.598399 1.393976
## 236 sample wet 4.598399 1.393976
## 237 sample wet 4.598399 1.393976
## 238 sample dry 4.598399 1.393976
## 239 sample wet 4.598399 1.393976
## 240 sample dry 4.598399 1.393976
## 241 sample wet 4.598399 1.393976
## 242 sample dry 4.598399 1.393976
## 243 sample wet 4.598399 1.393976
## 244 sample dry 4.598399 1.393976
## 245 sample dry 4.598399 1.393976
## 246 sample wet 4.598399 1.393976
## 247 sample dry 4.598399 1.393976
## 248 sample wet 4.598399 1.393976
## 249 sample dry 4.598399 1.393976
## 250 sample wet 4.598399 1.393976
## 251 sample dry 4.598399 1.393976
## 252 sample wet 4.598399 1.393976
## 253 sample dry 4.598399 1.393976
## 254 sample dry 4.598399 1.393976
## 255 sample wet 4.598399 1.393976
## 256 sample dry 4.598399 1.393976
## 257 sample wet 4.598399 1.393976
## 258 sample dry 4.598399 1.393976
## 259 sample wet 4.598399 1.393976
## 260 sample dry 1.000000 NA
## 261 sample wet 1.000000 NA
## 262 sample dry 1.000000 NA
## 263 sample wet 1.000000 NA
## 264 sample dry 1.000000 NA
## 265 sample wet 1.000000 NA
## 266 sample dry 1.000000 NA
## 267 sample wet 1.000000 NA
## 268 sample dry 1.000000 NA
## 269 sample wet 1.000000 NA
## 270 sample dry 1.000000 NA
## 271 sample wet 1.000000 NA
## 272 sample dry 1.000000 NA
## 273 sample dry 1.000000 NA
## 274 sample dry 1.000000 NA
## 275 sample wet 1.000000 NA
## 276 sample wet 1.000000 NA
## 277 sample dry 1.000000 NA
## 278 sample dry 1.000000 NA
## 279 sample dry 1.000000 NA
## 280 sample dry 1.000000 NA
## 281 sample wet 1.000000 NA
## 282 sample wet 1.000000 NA
## 283 sample dry 1.000000 NA
## 284 sample wet 1.000000 NA
## 285 sample wet 1.000000 NA
## 286 sample wet 1.000000 NA
## 287 sample wet 1.000000 NA
## 288 sample wet 1.000000 NA
## 289 sample dry 1.000000 NA
## 290 sample wet 1.000000 NA
## 291 sample dry 1.000000 NA
## 292 sample wet 1.000000 NA
## 293 sample dry 1.000000 NA
## 294 sample wet 1.000000 NA
## 295 sample dry 1.000000 NA
## 296 sample dry 1.000000 NA
## 297 sample wet 1.000000 NA
## 298 sample dry 1.000000 NA
## 299 sample wet 1.000000 NA
## 300 sample wet 1.000000 NA
## 301 sample dry 1.000000 NA
## 302 sample wet 1.000000 NA
## 303 sample dry 1.000000 NA
## 304 sample wet 1.000000 NA
## 305 sample dry 1.000000 NA
## 306 sample wet 1.000000 NA
## 307 sample dry 1.000000 NA
## 308 sample wet 1.000000 NA
## fiber.correction.factor.n particles.L.blank.corrected.fiber.corrected
## 1 NA 1.630000e+00
## 2 NA 1.650000e+00
## 3 NA 7.200000e+00
## 4 NA 5.630000e+00
## 5 NA 4.940000e+00
## 6 NA 8.430000e+00
## 7 NA 1.006000e+01
## 8 NA 2.310000e+00
## 9 NA 1.090000e+00
## 10 NA 1.784000e+01
## 11 NA 1.236000e+01
## 12 NA 2.441000e+01
## 13 NA 6.450000e-02
## 14 NA 1.150000e-02
## 15 NA 1.778000e-01
## 16 NA 4.210000e-02
## 17 NA 3.000000e-03
## 18 NA 5.400000e-03
## 19 NA 1.860000e-02
## 20 NA 2.330000e-02
## 21 NA 2.220000e-02
## 22 NA 7.780000e-02
## 23 NA 3.700000e-03
## 24 NA 5.500000e-03
## 25 NA 1.083000e-01
## 26 NA 1.593000e-01
## 27 NA 1.816000e-01
## 28 NA 7.500000e-03
## 29 NA 6.830000e-02
## 30 NA NA
## 31 NA NA
## 32 NA NA
## 33 NA NA
## 34 NA NA
## 35 NA NA
## 36 NA NA
## 37 NA NA
## 38 NA NA
## 39 NA NA
## 40 NA NA
## 41 NA NA
## 42 NA NA
## 43 NA NA
## 44 NA NA
## 45 NA NA
## 46 NA NA
## 47 NA NA
## 48 NA NA
## 49 NA NA
## 50 NA NA
## 51 NA NA
## 52 NA NA
## 53 NA NA
## 54 NA NA
## 55 NA NA
## 56 NA NA
## 57 NA NA
## 58 NA NA
## 59 NA NA
## 60 NA NA
## 61 NA NA
## 62 NA NA
## 63 NA NA
## 64 NA NA
## 65 NA NA
## 66 NA NA
## 67 NA NA
## 68 NA NA
## 69 NA NA
## 70 NA NA
## 71 NA NA
## 72 NA NA
## 73 NA NA
## 74 NA NA
## 75 NA NA
## 76 NA NA
## 77 NA NA
## 78 NA NA
## 79 NA NA
## 80 NA NA
## 81 NA NA
## 82 NA NA
## 83 NA NA
## 84 NA NA
## 85 NA NA
## 86 NA NA
## 87 NA NA
## 88 NA NA
## 89 NA NA
## 90 NA NA
## 91 NA NA
## 92 NA NA
## 93 NA NA
## 94 NA NA
## 95 NA NA
## 96 NA NA
## 97 NA NA
## 98 NA NA
## 99 NA NA
## 100 NA NA
## 101 NA NA
## 102 NA NA
## 103 NA NA
## 104 NA NA
## 105 NA NA
## 106 NA NA
## 107 NA NA
## 108 NA NA
## 109 NA NA
## 110 NA NA
## 111 NA NA
## 112 NA NA
## 113 NA NA
## 114 NA NA
## 115 NA NA
## 116 NA NA
## 117 NA NA
## 118 NA NA
## 119 NA NA
## 120 NA NA
## 121 NA NA
## 122 NA NA
## 123 NA NA
## 124 NA NA
## 125 NA NA
## 126 NA NA
## 127 NA NA
## 128 NA NA
## 129 NA NA
## 130 NA NA
## 131 NA NA
## 132 NA NA
## 133 NA NA
## 134 NA NA
## 135 NA NA
## 136 NA NA
## 137 NA NA
## 138 NA NA
## 139 NA NA
## 140 NA NA
## 141 NA NA
## 142 NA NA
## 143 NA NA
## 144 NA NA
## 145 NA NA
## 146 NA NA
## 147 NA NA
## 148 NA NA
## 149 NA NA
## 150 NA NA
## 151 NA NA
## 152 NA NA
## 153 NA NA
## 154 NA NA
## 155 NA NA
## 156 NA NA
## 157 NA NA
## 158 NA NA
## 159 NA NA
## 160 NA NA
## 161 NA NA
## 162 NA NA
## 163 NA NA
## 164 NA NA
## 165 NA NA
## 166 NA NA
## 167 NA NA
## 168 NA NA
## 169 NA NA
## 170 NA NA
## 171 NA NA
## 172 NA NA
## 173 NA NA
## 174 NA NA
## 175 NA NA
## 176 NA NA
## 177 NA NA
## 178 NA NA
## 179 NA NA
## 180 NA NA
## 181 NA NA
## 182 NA NA
## 183 NA NA
## 184 NA NA
## 185 NA NA
## 186 NA NA
## 187 NA NA
## 188 NA NA
## 189 NA NA
## 190 NA NA
## 191 NA NA
## 192 NA NA
## 193 NA NA
## 194 NA NA
## 195 NA NA
## 196 NA NA
## 197 NA NA
## 198 NA NA
## 199 NA NA
## 200 NA NA
## 201 NA NA
## 202 9 1.057632e-04
## 203 9 2.811461e-02
## 204 9 2.018697e-03
## 205 9 8.681777e-03
## 206 9 2.349782e-03
## 207 9 3.816671e-04
## 208 9 2.133657e-03
## 209 9 3.559161e-03
## 210 9 3.352233e-03
## 211 9 1.041537e-02
## 212 9 1.997085e-02
## 213 9 8.644990e-04
## 214 9 2.556296e-01
## 215 9 4.046591e-04
## 216 9 7.495391e-04
## 217 9 5.793983e-04
## 218 9 6.391775e-04
## 219 9 0.000000e+00
## 220 9 1.057632e-04
## 221 9 1.002451e-03
## 222 9 9.196798e-05
## 223 9 3.632735e-04
## 224 9 6.391775e-04
## 225 9 3.586751e-04
## 226 9 2.299200e-05
## 227 9 4.414463e-04
## 228 9 2.575103e-04
## 229 9 4.515628e-03
## 230 9 1.223174e-03
## 231 9 1.641628e-03
## 232 9 1.140403e-03
## 233 9 7.035551e-04
## 234 9 2.372774e-03
## 235 9 1.820966e-03
## 236 9 1.351929e-03
## 237 9 1.255363e-03
## 238 9 8.736958e-05
## 239 9 1.747392e-04
## 240 9 3.126911e-04
## 241 9 2.483136e-04
## 242 9 1.747392e-04
## 243 9 3.126911e-04
## 244 9 1.103616e-04
## 245 9 5.150207e-04
## 246 9 1.085222e-03
## 247 9 8.323102e-04
## 248 9 1.197883e-02
## 249 9 5.885951e-04
## 250 9 2.244019e-03
## 251 9 1.333076e-02
## 252 9 6.364184e-03
## 253 9 1.958918e-03
## 254 9 2.713055e-04
## 255 9 4.230527e-04
## 256 9 2.929180e-03
## 257 9 6.479144e-03
## 258 9 3.724703e-04
## 259 9 6.023903e-04
## 260 NA 3.465347e+00
## 261 NA 2.734878e+00
## 262 NA 7.433102e+00
## 263 NA 6.277464e-01
## 264 NA 1.950959e+00
## 265 NA 4.984424e+00
## 266 NA 2.325107e+00
## 267 NA 1.582779e+00
## 268 NA 2.703562e+00
## 269 NA 2.551020e+00
## 270 NA 6.578947e+00
## 271 NA 1.871102e+01
## 272 NA 3.000000e+00
## 273 NA 1.640420e+00
## 274 NA 8.671523e+00
## 275 NA 6.523157e-01
## 276 NA 0.000000e+00
## 277 NA 1.811594e+00
## 278 NA 7.095745e-01
## 279 NA 1.262626e+00
## 280 NA 3.664755e+00
## 281 NA 3.098500e+00
## 282 NA 1.279591e+00
## 283 NA 7.619048e+00
## 284 NA 2.412281e+00
## 285 NA 1.357323e+01
## 286 NA 2.383222e+00
## 287 NA 9.433962e-01
## 288 NA 3.570315e+01
## 289 NA 2.252599e+00
## 290 NA 2.202268e+00
## 291 NA 1.605652e+00
## 292 NA 4.269450e+00
## 293 NA 3.502069e+00
## 294 NA 1.876590e+01
## 295 NA 6.298450e+00
## 296 NA 9.980040e-01
## 297 NA 6.144393e+00
## 298 NA 3.346080e+00
## 299 NA 1.595745e+00
## 300 NA 2.666667e+00
## 301 NA 4.338395e+00
## 302 NA 9.931383e+00
## 303 NA 3.333333e+00
## 304 NA 2.833333e+00
## 305 NA 5.086072e+00
## 306 NA 5.243089e+00
## 307 NA 2.764613e+00
## 308 NA 4.427577e+00
## locationNew matrix
## 1 general Storm
## 2 general Storm
## 3 general Storm
## 4 general Storm
## 5 general Storm
## 6 general Storm
## 7 general Storm
## 8 general Storm
## 9 general Storm
## 10 general Storm
## 11 general Storm
## 12 general Storm
## 13 general WWTP
## 14 general WWTP
## 15 general WWTP
## 16 general WWTP
## 17 general WWTP
## 18 general WWTP
## 19 general WWTP
## 20 general WWTP
## 21 general WWTP
## 22 general WWTP
## 23 general WWTP
## 24 general WWTP
## 25 general WWTP
## 26 general WWTP
## 27 general WWTP
## 28 general WWTP
## 29 general WWTP
## 30 Lower South Bay Fish
## 31 Lower South Bay Fish
## 32 Lower South Bay Fish
## 33 Lower South Bay Fish
## 34 Lower South Bay Fish
## 35 Lower South Bay Fish
## 36 Lower South Bay Fish
## 37 Lower South Bay Fish
## 38 Lower South Bay Fish
## 39 Lower South Bay Fish
## 40 Lower South Bay Fish
## 41 Lower South Bay Fish
## 42 Lower South Bay Fish
## 43 Lower South Bay Fish
## 44 Tomales Bay Fish
## 45 Tomales Bay Fish
## 46 Tomales Bay Fish
## 47 Tomales Bay Fish
## 48 Tomales Bay Fish
## 49 Tomales Bay Fish
## 50 Tomales Bay Fish
## 51 Tomales Bay Fish
## 52 Tomales Bay Fish
## 53 Tomales Bay Fish
## 54 Tomales Bay Fish
## 55 Tomales Bay Fish
## 56 Tomales Bay Fish
## 57 Tomales Bay Fish
## 58 Tomales Bay Fish
## 59 Tomales Bay Fish
## 60 Tomales Bay Fish
## 61 Tomales Bay Fish
## 62 Tomales Bay Fish
## 63 Tomales Bay Fish
## 64 Tomales Bay Fish
## 65 Tomales Bay Fish
## 66 Tomales Bay Fish
## 67 Tomales Bay Fish
## 68 Tomales Bay Fish
## 69 Tomales Bay Fish
## 70 Tomales Bay Fish
## 71 Tomales Bay Fish
## 72 Tomales Bay Fish
## 73 Tomales Bay Fish
## 74 Central Bay Fish
## 75 Central Bay Fish
## 76 Central Bay Fish
## 77 Central Bay Fish
## 78 Central Bay Fish
## 79 Central Bay Fish
## 80 Central Bay Fish
## 81 Central Bay Fish
## 82 Central Bay Fish
## 83 Central Bay Fish
## 84 Central Bay Fish
## 85 Central Bay Fish
## 86 Central Bay Fish
## 87 Central Bay Fish
## 88 Central Bay Fish
## 89 Central Bay Fish
## 90 Central Bay Fish
## 91 Central Bay Fish
## 92 Central Bay Fish
## 93 Central Bay Fish
## 94 Central Bay Fish
## 95 Central Bay Fish
## 96 Central Bay Fish
## 97 Central Bay Fish
## 98 Central Bay Fish
## 99 Central Bay Fish
## 100 Central Bay Fish
## 101 Central Bay Fish
## 102 Central Bay Fish
## 103 Central Bay Fish
## 104 Central Bay Fish
## 105 Central Bay Fish
## 106 Central Bay Fish
## 107 Central Bay Fish
## 108 Central Bay Fish
## 109 Central Bay Fish
## 110 Central Bay Fish
## 111 Central Bay Fish
## 112 general Fish
## 113 general Fish
## 114 general Fish
## 115 general Fish
## 116 general Fish
## 117 general Fish
## 118 general Fish
## 119 general Fish
## 120 general Fish
## 121 general Fish
## 122 South Bay Fish
## 123 South Bay Fish
## 124 South Bay Fish
## 125 South Bay Fish
## 126 South Bay Fish
## 127 South Bay Fish
## 128 South Bay Fish
## 129 South Bay Fish
## 130 South Bay Fish
## 131 South Bay Fish
## 132 South Bay Fish
## 133 South Bay Fish
## 134 South Bay Fish
## 135 South Bay Fish
## 136 South Bay Fish
## 137 South Bay Fish
## 138 South Bay Fish
## 139 South Bay Fish
## 140 South Bay Fish
## 141 South Bay Fish
## 142 Central Bay Fish
## 143 Central Bay Fish
## 144 Central Bay Fish
## 145 Central Bay Fish
## 146 Central Bay Fish
## 147 Central Bay Fish
## 148 Central Bay Fish
## 149 Central Bay Fish
## 150 Central Bay Fish
## 151 Central Bay Fish
## 152 Central Bay Fish
## 153 Central Bay Fish
## 154 Central Bay Fish
## 155 Central Bay Fish
## 156 Central Bay Fish
## 157 Central Bay Fish
## 158 Central Bay Fish
## 159 Central Bay Fish
## 160 Central Bay Fish
## 161 Central Bay Fish
## 162 general Fish
## 163 general Fish
## 164 general Fish
## 165 general Fish
## 166 general Fish
## 167 general Fish
## 168 general Fish
## 169 general Fish
## 170 general Fish
## 171 general Fish
## 172 Tomales Bay Fish
## 173 Tomales Bay Fish
## 174 Tomales Bay Fish
## 175 Tomales Bay Fish
## 176 Tomales Bay Fish
## 177 Tomales Bay Fish
## 178 Tomales Bay Fish
## 179 Tomales Bay Fish
## 180 Tomales Bay Fish
## 181 Tomales Bay Fish
## 182 general Sediment
## 183 Central Bay Sediment
## 184 Central Bay Sediment
## 185 Central Bay Sediment
## 186 Central Bay Sediment
## 187 Lower South Bay Sediment
## 188 Lower South Bay Sediment
## 189 Lower South Bay Sediment
## 190 general Sediment
## 191 South Bay Sediment
## 192 South Bay Sediment
## 193 South Bay Sediment
## 194 general Sediment
## 195 general Sediment
## 196 general Sediment
## 197 general Sediment
## 198 general Sediment
## 199 general Sediment
## 200 Tomales Bay Sediment
## 201 Tomales Bay Sediment
## 202 Central Bay Surface (Manta Trawl)
## 203 Central Bay Surface (Manta Trawl)
## 204 Central Bay Surface (Manta Trawl)
## 205 Central Bay Surface (Manta Trawl)
## 206 Central Bay Surface (Manta Trawl)
## 207 Central Bay Surface (Manta Trawl)
## 208 Central Bay Surface (Manta Trawl)
## 209 Central Bay Surface (Manta Trawl)
## 210 Central Bay Surface (Manta Trawl)
## 211 Central Bay Surface (Manta Trawl)
## 212 Central Bay Surface (Manta Trawl)
## 213 Central Bay Surface (Manta Trawl)
## 214 Central Bay Surface (Manta Trawl)
## 215 National Marine Sanctuary Surface (Manta Trawl)
## 216 National Marine Sanctuary Surface (Manta Trawl)
## 217 National Marine Sanctuary Surface (Manta Trawl)
## 218 National Marine Sanctuary Surface (Manta Trawl)
## 219 National Marine Sanctuary Surface (Manta Trawl)
## 220 National Marine Sanctuary Surface (Manta Trawl)
## 221 National Marine Sanctuary Surface (Manta Trawl)
## 222 National Marine Sanctuary Surface (Manta Trawl)
## 223 National Marine Sanctuary Surface (Manta Trawl)
## 224 National Marine Sanctuary Surface (Manta Trawl)
## 225 National Marine Sanctuary Surface (Manta Trawl)
## 226 National Marine Sanctuary Surface (Manta Trawl)
## 227 National Marine Sanctuary Surface (Manta Trawl)
## 228 National Marine Sanctuary Surface (Manta Trawl)
## 229 Lower South Bay Surface (Manta Trawl)
## 230 Lower South Bay Surface (Manta Trawl)
## 231 Lower South Bay Surface (Manta Trawl)
## 232 Lower South Bay Surface (Manta Trawl)
## 233 Lower South Bay Surface (Manta Trawl)
## 234 Lower South Bay Surface (Manta Trawl)
## 235 National Marine Sanctuary Surface (Manta Trawl)
## 236 National Marine Sanctuary Surface (Manta Trawl)
## 237 National Marine Sanctuary Surface (Manta Trawl)
## 238 National Marine Sanctuary Surface (Manta Trawl)
## 239 National Marine Sanctuary Surface (Manta Trawl)
## 240 National Marine Sanctuary Surface (Manta Trawl)
## 241 National Marine Sanctuary Surface (Manta Trawl)
## 242 National Marine Sanctuary Surface (Manta Trawl)
## 243 National Marine Sanctuary Surface (Manta Trawl)
## 244 National Marine Sanctuary Surface (Manta Trawl)
## 245 South Bay Surface (Manta Trawl)
## 246 South Bay Surface (Manta Trawl)
## 247 South Bay Surface (Manta Trawl)
## 248 South Bay Surface (Manta Trawl)
## 249 South Bay Surface (Manta Trawl)
## 250 South Bay Surface (Manta Trawl)
## 251 South Bay Surface (Manta Trawl)
## 252 South Bay Surface (Manta Trawl)
## 253 general Surface (Manta Trawl)
## 254 general Surface (Manta Trawl)
## 255 general Surface (Manta Trawl)
## 256 general Surface (Manta Trawl)
## 257 general Surface (Manta Trawl)
## 258 general Surface (Manta Trawl)
## 259 general Surface (Manta Trawl)
## 260 Central Bay Surface (1L-grab)
## 261 Central Bay Surface (1L-grab)
## 262 Central Bay Surface (1L-grab)
## 263 Central Bay Surface (1L-grab)
## 264 Central Bay Surface (1L-grab)
## 265 Central Bay Surface (1L-grab)
## 266 Central Bay Surface (1L-grab)
## 267 Central Bay Surface (1L-grab)
## 268 Central Bay Surface (1L-grab)
## 269 Central Bay Surface (1L-grab)
## 270 Central Bay Surface (1L-grab)
## 271 Central Bay Surface (1L-grab)
## 272 National Marine Sanctuary Surface (1L-grab)
## 273 National Marine Sanctuary Surface (1L-grab)
## 274 National Marine Sanctuary Surface (1L-grab)
## 275 National Marine Sanctuary Surface (1L-grab)
## 276 National Marine Sanctuary Surface (1L-grab)
## 277 National Marine Sanctuary Surface (1L-grab)
## 278 National Marine Sanctuary Surface (1L-grab)
## 279 National Marine Sanctuary Surface (1L-grab)
## 280 National Marine Sanctuary Surface (1L-grab)
## 281 Lower South Bay Surface (1L-grab)
## 282 Lower South Bay Surface (1L-grab)
## 283 Lower South Bay Surface (1L-grab)
## 284 Lower South Bay Surface (1L-grab)
## 285 National Marine Sanctuary Surface (1L-grab)
## 286 National Marine Sanctuary Surface (1L-grab)
## 287 National Marine Sanctuary Surface (1L-grab)
## 288 National Marine Sanctuary Surface (1L-grab)
## 289 National Marine Sanctuary Surface (1L-grab)
## 290 National Marine Sanctuary Surface (1L-grab)
## 291 National Marine Sanctuary Surface (1L-grab)
## 292 National Marine Sanctuary Surface (1L-grab)
## 293 National Marine Sanctuary Surface (1L-grab)
## 294 National Marine Sanctuary Surface (1L-grab)
## 295 National Marine Sanctuary Surface (1L-grab)
## 296 South Bay Surface (1L-grab)
## 297 South Bay Surface (1L-grab)
## 298 South Bay Surface (1L-grab)
## 299 South Bay Surface (1L-grab)
## 300 South Bay Surface (1L-grab)
## 301 South Bay Surface (1L-grab)
## 302 South Bay Surface (1L-grab)
## 303 general Surface (1L-grab)
## 304 general Surface (1L-grab)
## 305 general Surface (1L-grab)
## 306 general Surface (1L-grab)
## 307 general Surface (1L-grab)
## 308 general Surface (1L-grab)
## locationMatrix
## 1 general Storm
## 2 general Storm
## 3 general Storm
## 4 general Storm
## 5 general Storm
## 6 general Storm
## 7 general Storm
## 8 general Storm
## 9 general Storm
## 10 general Storm
## 11 general Storm
## 12 general Storm
## 13 general WWTP
## 14 general WWTP
## 15 general WWTP
## 16 general WWTP
## 17 general WWTP
## 18 general WWTP
## 19 general WWTP
## 20 general WWTP
## 21 general WWTP
## 22 general WWTP
## 23 general WWTP
## 24 general WWTP
## 25 general WWTP
## 26 general WWTP
## 27 general WWTP
## 28 general WWTP
## 29 general WWTP
## 30 Lower South Bay Fish
## 31 Lower South Bay Fish
## 32 Lower South Bay Fish
## 33 Lower South Bay Fish
## 34 Lower South Bay Fish
## 35 Lower South Bay Fish
## 36 Lower South Bay Fish
## 37 Lower South Bay Fish
## 38 Lower South Bay Fish
## 39 Lower South Bay Fish
## 40 Lower South Bay Fish
## 41 Lower South Bay Fish
## 42 Lower South Bay Fish
## 43 Lower South Bay Fish
## 44 Tomales Bay Fish
## 45 Tomales Bay Fish
## 46 Tomales Bay Fish
## 47 Tomales Bay Fish
## 48 Tomales Bay Fish
## 49 Tomales Bay Fish
## 50 Tomales Bay Fish
## 51 Tomales Bay Fish
## 52 Tomales Bay Fish
## 53 Tomales Bay Fish
## 54 Tomales Bay Fish
## 55 Tomales Bay Fish
## 56 Tomales Bay Fish
## 57 Tomales Bay Fish
## 58 Tomales Bay Fish
## 59 Tomales Bay Fish
## 60 Tomales Bay Fish
## 61 Tomales Bay Fish
## 62 Tomales Bay Fish
## 63 Tomales Bay Fish
## 64 Tomales Bay Fish
## 65 Tomales Bay Fish
## 66 Tomales Bay Fish
## 67 Tomales Bay Fish
## 68 Tomales Bay Fish
## 69 Tomales Bay Fish
## 70 Tomales Bay Fish
## 71 Tomales Bay Fish
## 72 Tomales Bay Fish
## 73 Tomales Bay Fish
## 74 Central Bay Fish
## 75 Central Bay Fish
## 76 Central Bay Fish
## 77 Central Bay Fish
## 78 Central Bay Fish
## 79 Central Bay Fish
## 80 Central Bay Fish
## 81 Central Bay Fish
## 82 Central Bay Fish
## 83 Central Bay Fish
## 84 Central Bay Fish
## 85 Central Bay Fish
## 86 Central Bay Fish
## 87 Central Bay Fish
## 88 Central Bay Fish
## 89 Central Bay Fish
## 90 Central Bay Fish
## 91 Central Bay Fish
## 92 Central Bay Fish
## 93 Central Bay Fish
## 94 Central Bay Fish
## 95 Central Bay Fish
## 96 Central Bay Fish
## 97 Central Bay Fish
## 98 Central Bay Fish
## 99 Central Bay Fish
## 100 Central Bay Fish
## 101 Central Bay Fish
## 102 Central Bay Fish
## 103 Central Bay Fish
## 104 Central Bay Fish
## 105 Central Bay Fish
## 106 Central Bay Fish
## 107 Central Bay Fish
## 108 Central Bay Fish
## 109 Central Bay Fish
## 110 Central Bay Fish
## 111 Central Bay Fish
## 112 general Fish
## 113 general Fish
## 114 general Fish
## 115 general Fish
## 116 general Fish
## 117 general Fish
## 118 general Fish
## 119 general Fish
## 120 general Fish
## 121 general Fish
## 122 South Bay Fish
## 123 South Bay Fish
## 124 South Bay Fish
## 125 South Bay Fish
## 126 South Bay Fish
## 127 South Bay Fish
## 128 South Bay Fish
## 129 South Bay Fish
## 130 South Bay Fish
## 131 South Bay Fish
## 132 South Bay Fish
## 133 South Bay Fish
## 134 South Bay Fish
## 135 South Bay Fish
## 136 South Bay Fish
## 137 South Bay Fish
## 138 South Bay Fish
## 139 South Bay Fish
## 140 South Bay Fish
## 141 South Bay Fish
## 142 Central Bay Fish
## 143 Central Bay Fish
## 144 Central Bay Fish
## 145 Central Bay Fish
## 146 Central Bay Fish
## 147 Central Bay Fish
## 148 Central Bay Fish
## 149 Central Bay Fish
## 150 Central Bay Fish
## 151 Central Bay Fish
## 152 Central Bay Fish
## 153 Central Bay Fish
## 154 Central Bay Fish
## 155 Central Bay Fish
## 156 Central Bay Fish
## 157 Central Bay Fish
## 158 Central Bay Fish
## 159 Central Bay Fish
## 160 Central Bay Fish
## 161 Central Bay Fish
## 162 general Fish
## 163 general Fish
## 164 general Fish
## 165 general Fish
## 166 general Fish
## 167 general Fish
## 168 general Fish
## 169 general Fish
## 170 general Fish
## 171 general Fish
## 172 Tomales Bay Fish
## 173 Tomales Bay Fish
## 174 Tomales Bay Fish
## 175 Tomales Bay Fish
## 176 Tomales Bay Fish
## 177 Tomales Bay Fish
## 178 Tomales Bay Fish
## 179 Tomales Bay Fish
## 180 Tomales Bay Fish
## 181 Tomales Bay Fish
## 182 general Sediment
## 183 Central Bay Sediment
## 184 Central Bay Sediment
## 185 Central Bay Sediment
## 186 Central Bay Sediment
## 187 Lower South Bay Sediment
## 188 Lower South Bay Sediment
## 189 Lower South Bay Sediment
## 190 general Sediment
## 191 South Bay Sediment
## 192 South Bay Sediment
## 193 South Bay Sediment
## 194 general Sediment
## 195 general Sediment
## 196 general Sediment
## 197 general Sediment
## 198 general Sediment
## 199 general Sediment
## 200 Tomales Bay Sediment
## 201 Tomales Bay Sediment
## 202 Central Bay Surface (Manta Trawl)
## 203 Central Bay Surface (Manta Trawl)
## 204 Central Bay Surface (Manta Trawl)
## 205 Central Bay Surface (Manta Trawl)
## 206 Central Bay Surface (Manta Trawl)
## 207 Central Bay Surface (Manta Trawl)
## 208 Central Bay Surface (Manta Trawl)
## 209 Central Bay Surface (Manta Trawl)
## 210 Central Bay Surface (Manta Trawl)
## 211 Central Bay Surface (Manta Trawl)
## 212 Central Bay Surface (Manta Trawl)
## 213 Central Bay Surface (Manta Trawl)
## 214 Central Bay Surface (Manta Trawl)
## 215 National Marine Sanctuary Surface (Manta Trawl)
## 216 National Marine Sanctuary Surface (Manta Trawl)
## 217 National Marine Sanctuary Surface (Manta Trawl)
## 218 National Marine Sanctuary Surface (Manta Trawl)
## 219 National Marine Sanctuary Surface (Manta Trawl)
## 220 National Marine Sanctuary Surface (Manta Trawl)
## 221 National Marine Sanctuary Surface (Manta Trawl)
## 222 National Marine Sanctuary Surface (Manta Trawl)
## 223 National Marine Sanctuary Surface (Manta Trawl)
## 224 National Marine Sanctuary Surface (Manta Trawl)
## 225 National Marine Sanctuary Surface (Manta Trawl)
## 226 National Marine Sanctuary Surface (Manta Trawl)
## 227 National Marine Sanctuary Surface (Manta Trawl)
## 228 National Marine Sanctuary Surface (Manta Trawl)
## 229 Lower South Bay Surface (Manta Trawl)
## 230 Lower South Bay Surface (Manta Trawl)
## 231 Lower South Bay Surface (Manta Trawl)
## 232 Lower South Bay Surface (Manta Trawl)
## 233 Lower South Bay Surface (Manta Trawl)
## 234 Lower South Bay Surface (Manta Trawl)
## 235 National Marine Sanctuary Surface (Manta Trawl)
## 236 National Marine Sanctuary Surface (Manta Trawl)
## 237 National Marine Sanctuary Surface (Manta Trawl)
## 238 National Marine Sanctuary Surface (Manta Trawl)
## 239 National Marine Sanctuary Surface (Manta Trawl)
## 240 National Marine Sanctuary Surface (Manta Trawl)
## 241 National Marine Sanctuary Surface (Manta Trawl)
## 242 National Marine Sanctuary Surface (Manta Trawl)
## 243 National Marine Sanctuary Surface (Manta Trawl)
## 244 National Marine Sanctuary Surface (Manta Trawl)
## 245 South Bay Surface (Manta Trawl)
## 246 South Bay Surface (Manta Trawl)
## 247 South Bay Surface (Manta Trawl)
## 248 South Bay Surface (Manta Trawl)
## 249 South Bay Surface (Manta Trawl)
## 250 South Bay Surface (Manta Trawl)
## 251 South Bay Surface (Manta Trawl)
## 252 South Bay Surface (Manta Trawl)
## 253 general Surface (Manta Trawl)
## 254 general Surface (Manta Trawl)
## 255 general Surface (Manta Trawl)
## 256 general Surface (Manta Trawl)
## 257 general Surface (Manta Trawl)
## 258 general Surface (Manta Trawl)
## 259 general Surface (Manta Trawl)
## 260 Central Bay Surface (1L-grab)
## 261 Central Bay Surface (1L-grab)
## 262 Central Bay Surface (1L-grab)
## 263 Central Bay Surface (1L-grab)
## 264 Central Bay Surface (1L-grab)
## 265 Central Bay Surface (1L-grab)
## 266 Central Bay Surface (1L-grab)
## 267 Central Bay Surface (1L-grab)
## 268 Central Bay Surface (1L-grab)
## 269 Central Bay Surface (1L-grab)
## 270 Central Bay Surface (1L-grab)
## 271 Central Bay Surface (1L-grab)
## 272 National Marine Sanctuary Surface (1L-grab)
## 273 National Marine Sanctuary Surface (1L-grab)
## 274 National Marine Sanctuary Surface (1L-grab)
## 275 National Marine Sanctuary Surface (1L-grab)
## 276 National Marine Sanctuary Surface (1L-grab)
## 277 National Marine Sanctuary Surface (1L-grab)
## 278 National Marine Sanctuary Surface (1L-grab)
## 279 National Marine Sanctuary Surface (1L-grab)
## 280 National Marine Sanctuary Surface (1L-grab)
## 281 Lower South Bay Surface (1L-grab)
## 282 Lower South Bay Surface (1L-grab)
## 283 Lower South Bay Surface (1L-grab)
## 284 Lower South Bay Surface (1L-grab)
## 285 National Marine Sanctuary Surface (1L-grab)
## 286 National Marine Sanctuary Surface (1L-grab)
## 287 National Marine Sanctuary Surface (1L-grab)
## 288 National Marine Sanctuary Surface (1L-grab)
## 289 National Marine Sanctuary Surface (1L-grab)
## 290 National Marine Sanctuary Surface (1L-grab)
## 291 National Marine Sanctuary Surface (1L-grab)
## 292 National Marine Sanctuary Surface (1L-grab)
## 293 National Marine Sanctuary Surface (1L-grab)
## 294 National Marine Sanctuary Surface (1L-grab)
## 295 National Marine Sanctuary Surface (1L-grab)
## 296 South Bay Surface (1L-grab)
## 297 South Bay Surface (1L-grab)
## 298 South Bay Surface (1L-grab)
## 299 South Bay Surface (1L-grab)
## 300 South Bay Surface (1L-grab)
## 301 South Bay Surface (1L-grab)
## 302 South Bay Surface (1L-grab)
## 303 general Surface (1L-grab)
## 304 general Surface (1L-grab)
## 305 general Surface (1L-grab)
## 306 general Surface (1L-grab)
## 307 general Surface (1L-grab)
## 308 general Surface (1L-grab)#extract generic correction factors for manta
manta.correction.proportion <- as.numeric(manta.correction$proportion[1] / 100)
manta.correction.upper95 <- manta.correction$proportion.upper95[1] / 100
manta.correction.lower95 <- manta.correction$proportion.lower95[1] / 100
manta.correction.sd <- manta.correction$sd.proportion[1] / 100
manta.correction.n <- manta.correction$n.proportion[1]
#join tables
sfBay2_joined <- left_join(sfBay2_recode, final_proportions, by = "locationMatrix") %>%
#replace manta with generic correction factor
mutate(proportion = case_when(
Sampling.apparatus == "Manta Trawl" ~ manta.correction.proportion,
TRUE ~ as.numeric(as.character(proportion)))) %>%
mutate(proportion.upper95 = case_when(
Sampling.apparatus == "Manta Trawl" ~ manta.correction.upper95)) %>%
mutate(proportion.lower95 = case_when(
Sampling.apparatus == "Manta Trawl" ~ manta.correction.lower95)) %>%
mutate(proportion.sd = case_when(
Sampling.apparatus == "Manta Trawl" ~ manta.correction.sd)) %>%
mutate(proportion.n = case_when(
Sampling.apparatus == "Manta Trawl" ~ manta.correction.n))
sfBay2_joined ## sampleID
## 1 17-POC-438-125&355
## 2 17-POC-259-125&355
## 3 20180406MMPStormSBCCMP125&355
## 4 17-POC-283-125&355
## 5 17-POC-515-125&355
## 6 17-POC-100-125&355
## 7 17-POC-130-125&355
## 8 17GR-003-125&355
## 9 20180108MMPStormSBSMMP125&355
## 10 20180108MMPStormCBMeek125&355
## 11 20180108MMPStormCBEmery125&355
## 12 19-POC-198-125&355
## 13 EBDA Aug 31 2017
## 14 EBDA Sept 26 2017
## 15 EBMUD Aug 22 2017
## 16 EBMUD Sept 26 2017
## 17 PA Aug 1 2017
## 18 PA July 20 2017 A
## 19 SJ Aug 10 2017
## 20 SJ Sept 19 2017
## 21 SUNN Sept 19 2017
## 22 CCCSD Sept 7 2017
## 23 FSSD Aug 23 2017
## 24 FSSD Sept 7 2017
## 25 EBMUD Oct 20 2017
## 26 SFPUC Nov 6 2017
## 27 SFPUC Nov 7 2017
## 28 SUNN Oct 17 2017
## 29 CCCSD Dec 6 2017
## 30 AN LSB06_1
## 31 AN LSB06_2
## 32 AN LSB06_4
## 33 TS LSB06_1
## 34 TS LSB06_2
## 35 TS LSB06_3
## 36 TS LSB06_4
## 37 AN LSB06_3
## 38 TS LSB06_5
## 39 TS LSB06_6
## 40 TS LSB06_7
## 41 TS LSB06_8
## 42 TS LSB06_9
## 43 TS LSB06_10
## 44 AN TB101_1
## 45 AN TB101_2
## 46 AN TB101_3
## 47 AN TB101_4
## 48 AN TB101_5
## 49 AN TB101_6
## 50 AN TB101_7
## 51 AN TB101_8
## 52 AN TB101_9
## 53 AN TB101_10
## 54 AN TB102_1
## 55 AN TB102_2
## 56 AN TB102_3
## 57 AN TB102_4
## 58 AN TB102_5
## 59 AN TB102_6
## 60 AN TB102_7
## 61 AN TB102_8
## 62 AN TB102_9
## 63 AN TB102_10
## 64 TS TB101_1
## 65 TS TB101_2
## 66 TS TB101_3
## 67 TS TB101_4
## 68 TS TB101_5
## 69 TS TB101_6
## 70 TS TB101_7
## 71 TS TB101_8
## 72 TS TB101_9
## 73 TS TB101_10
## 74 TS CB106_1
## 75 TS CB106_2
## 76 TS CB106_3
## 77 TS CB106_4
## 78 TS CB106_5
## 79 TS CB106_6
## 80 TS CB106_7
## 81 TS CB106_8
## 82 TS CB106_9
## 83 TS CB106_10
## 84 AN CB106_1
## 85 AN CB106_2
## 86 AN CB106_3
## 87 AN CB106_4
## 88 AN CB106_5
## 89 AN CB106_6
## 90 AN CB106_7
## 91 AN CB106_8
## 92 AN CB106_9
## 93 AN CB106_10
## 94 AN CB010_1
## 95 AN CB010_2
## 96 AN CB010_4
## 97 AN CB010_3
## 98 AN CB010_5
## 99 AN CB010_6
## 100 AN CB010_7
## 101 AN CB010_8
## 102 AN CB010_9
## 103 AN CB010_10
## 104 TS CB010_1
## 105 TS CB010_2
## 106 TS CB010_3
## 107 TS CB010_4
## 108 TS CB010_5
## 109 TS CB010_6
## 110 TS CB010_7
## 111 TS CB010_8
## 112 AN SOSL40_1
## 113 AN SOSL40_2
## 114 AN SOSL40_3
## 115 AN SOSL40_4
## 116 AN SOSL40_5
## 117 AN SOSL40_6
## 118 AN SOSL40_7
## 119 AN SOSL40_8
## 120 AN SOSL40_9
## 121 AN SOSL40_10
## 122 AN SB074_1
## 123 AN SB074_2
## 124 AN SB074_3
## 125 AN SB074_4
## 126 AN SB074_5
## 127 AN SB074_6
## 128 AN SB074_7
## 129 AN SB074_8
## 130 AN SB074_9
## 131 AN SB074_10
## 132 TS SB074_1
## 133 TS SB074_2
## 134 TS SB074_3
## 135 TS SB074_4
## 136 TS SB074_5
## 137 TS SB074_6
## 138 TS SB074_7
## 139 TS SB074_8
## 140 TS SB074_9
## 141 TS SB074_10
## 142 AN CB037_1
## 143 AN CB037_2
## 144 AN CB037_3
## 145 AN CB037_4
## 146 AN CB037_5
## 147 AN CB037_6
## 148 AN CB037_7
## 149 AN CB037_8
## 150 AN CB037_9
## 151 AN CB037_10
## 152 TS CB037_1
## 153 TS CB037_2
## 154 TS CB037_3
## 155 TS CB037_4
## 156 TS CB037_5
## 157 TS CB037_6
## 158 TS CB037_7
## 159 TS CB037_8
## 160 TS CB037_9
## 161 TS CB037_10
## 162 TS SOSL40_1
## 163 TS SOSL40_2
## 164 TS SOSL40_3
## 165 TS SOSL40_4
## 166 TS SOSL40_5
## 167 TS SOSL40_6
## 168 TS SOSL40_7
## 169 TS SOSL40_8
## 170 TS SOSL40_9
## 171 TS SOSL40_10
## 172 TS TB102_1
## 173 TS TB102_2
## 174 TS TB102_3
## 175 TS TB102_4
## 176 TS TB102_5
## 177 TS TB102_6
## 178 TS TB102_7
## 179 TS TB102_8
## 180 TS TB102_9
## 181 TS TB102_10
## 182 RMP_14SC_1153
## 183 15RMPMC_CB10_MP1
## 184 15RMPMC-CB15-MP1
## 185 15RMPMC_CB32_MP1
## 186 15RMPC_CB37_MP1
## 187 17MMP_S_LSB02_MP_1
## 188 17MMP_S_LSB04_MP_1
## 189 17MMP-S-LSB06-MP
## 190 15RMP_14SC_1270
## 191 17MMP_S_SB051_MP_1
## 192 17MMP_SB056_MP_1
## 193 17MMP_S_SB074_MP_1
## 194 17MMP_S_SOSL16_MP_1
## 195 17MMP_S_SOSL40_MP1
## 196 17MMP-S-SPB128-MP
## 197 17MMP_S_SPB15_MP1
## 198 17MMP-S-SUB52-MP
## 199 17MMP_S_SUB53_MP
## 200 17MMP_S_TB101_MP
## 201 17MMP_S_TB102_MP
## 202 CB4 Aug 21
## 203 CB4 Richmond Bdg Nov 16
## 204 CB5 Aug 22
## 205 CB5 Nov 16
## 206 CB5 Nov 5
## 207 CB6 Aug 22
## 208 CB6 Nov 16
## 209 CB7 Aug 22 DUP
## 210 CB7 Bay Bridge Nov 16
## 211 CB8 Aug 25
## 212 CB8 Jan 11
## 213 CB9 Aug 22
## 214 CB9 Jan 11 Total
## 215 CBNMS22 Mar 30
## 216 CBNMS22 Sept 12
## 217 CBNMS23 Mar 29
## 218 CBNMS23 Sept 12
## 219 CBNMS24 Sept 13
## 220 GFNMS24 Mar 29
## 221 GFNMS25 Mar 30
## 222 GFNMS25 Sept 11
## 223 GFNMS26 Mar 29
## 224 GFNMS26 Sept 12
## 225 GFNMS27 March 29
## 226 GFNMS27 Sept 13
## 227 GFNMS28 Mar 30
## 228 GFNMS28 DUP Sept 13
## 229 LSB14 Aug 24
## 230 LSB14 Mar 6
## 231 LSB15 Aug 24
## 232 LSB15 Mar 6
## 233 LSB16 Aug 24
## 234 LSB16 Mar 6
## 235 MBNMS29 Jan 11 2018
## 236 MBNMS29 Mar 30
## 237 MBNMS29 Nov 17 2017
## 238 MBNMS29 Sept 13
## 239 MBNMS30 Mar 31
## 240 MBNMS30 Sept 27
## 241 MBNMS31 Mar 31
## 242 MBNMS31 Sept 27
## 243 MBNMS32 Mar 31
## 244 MBNMS32 Sept 27
## 245 SB10 Aug 23
## 246 SB10 Mar 19
## 247 SB11 Aug 23
## 248 SB11 Mar 19
## 249 SB12 Aug 23
## 250 SB12 Mar 19
## 251 SB13 Aug 23
## 252 SB13 Mar 19
## 253 SF Bay Treasure Island Sept 18
## 254 SF Bay Treasure Island Sept 18
## 255 SPB2 Aug 21 2017
## 256 SPB2 Aug 21 2017
## 257 SPB2 Nov 16
## 258 SPB2 Nov 16
## 259 SPB3 Aug 21
## 260 SPB3 Aug 21
## 261 SPB3 Nov 17
## 262 SPB3 Nov 17
## 263 SUB1 Aug 21
## 264 SUB1 Aug 21
## 265 SUB1 Nov 17
## 266 SUB1 Nov 17
## 267 CB4 Aug 21 grab
## 268 CB4 Nov 22 grab
## 269 CB5 Aug 22 grab
## 270 CB5 Nov 22 grab
## 271 CB6 Aug 22 grab
## 272 CB6 Nov 22 grab
## 273 CB7 Aug 22 grab
## 274 CB7 Nov 22 grab
## 275 CB8 Aug 22 grab
## 276 CB8 Jan 11 grab
## 277 CB9 Aug 22 grab
## 278 CB9 Jan 22 grab
## 279 CBNMS22 Sept 12 grab
## 280 CBNMS23 Sep 22 grab
## 281 CBNMS24 Sep 22 grab
## 282 GFNMS/MBNMS29 Jan 22 grab
## 283 GFNMS25 Mar 22 grab
## 284 GFNMS25 Sept 11 grab
## 285 GFNMS26 Sept 12 grab
## 286 GFNMS27 Sep 22 grab
## 287 GFNMS28 (DUP for Manta) Sep 22 grab
## 288 LSB14 Mar 22 grab
## 289 LSB15 (corrected from LSB14 to LSB15) Mar 22 grab
## 290 LSB16 Aug 22 grab
## 291 LSB16 Mar 22 grab
## 292 MBNMS26 (GFNMS26 on bottle) Mar 22 grab
## 293 MBNMS28 (GFNMS28?) Mar 22 grab
## 294 MBNMS29 Mar 30 grab
## 295 MBNMS29 Nov 22 grab
## 296 MBNMS29 Sept 13 grab
## 297 MBNMS30 Mar 30 (Mar 31 for Manta) grab
## 298 MBNMS30 Sep 22 grab
## 299 MBNMS31 Mar 22 grab
## 300 MBNMS31 Sep 22 grab
## 301 MBNMS32 Mar 22 grab
## 302 MBNMS32 Sep 22 grab
## 303 SB10 Aug 22 grab
## 304 SB10 Mar 22 grab
## 305 SB11 Aug 22 grab
## 306 SB11 Mar 22 grab
## 307 SB12 Mar 19 grab
## 308 SB13 Aug 23 grab
## 309 SB13 Mar 22 grab
## 310 SPB2 Aug 21 2017 grab
## 311 SPB2 Nov 16 grab
## 312 SPB3 Aug 22 grab
## 313 SPB3 Nov 22 grab
## 314 SUB1 Aug 22 grab
## 315 SUB1 Nov 22 grab
## specific.location System general.location
## 1 Rodeo Creek at Seacliff Ct Pedestrian Br Estuary <NA>
## 2 Refugio Creek at Tsushima St Estuary <NA>
## 3 Coyote Creek Estuary <NA>
## 4 Colma Ck at S. Linden Blvd Estuary <NA>
## 5 Line 12K at Coliseum Entrance Estuary <NA>
## 6 Line 12F below PG&E station Estuary <NA>
## 7 Line 12J at mouth to 12K Estuary <NA>
## 8 Guadalupe River at Highway 101 Estuary <NA>
## 9 San Mateo Creek Estuary <NA>
## 10 Meeker Slough at Regatta Blvd Estuary <NA>
## 11 MMP-Storm-CB-Emery Estuary <NA>
## 12 12M Rep1 Estuary <NA>
## 13 <NA> Estuary <NA>
## 14 <NA> Estuary <NA>
## 15 <NA> Estuary <NA>
## 16 <NA> Estuary <NA>
## 17 <NA> Estuary <NA>
## 18 <NA> Estuary <NA>
## 19 <NA> Estuary <NA>
## 20 <NA> Estuary <NA>
## 21 <NA> Estuary <NA>
## 22 <NA> Estuary <NA>
## 23 <NA> Estuary <NA>
## 24 <NA> Estuary <NA>
## 25 <NA> Estuary <NA>
## 26 <NA> Estuary <NA>
## 27 <NA> Estuary <NA>
## 28 <NA> Estuary <NA>
## 29 <NA> Estuary <NA>
## 30 <NA> Estuary Lower South Bay
## 31 <NA> Estuary Lower South Bay
## 32 <NA> Estuary Lower South Bay
## 33 <NA> Estuary Lower South Bay
## 34 <NA> Estuary Lower South Bay
## 35 <NA> Estuary Lower South Bay
## 36 <NA> Estuary Lower South Bay
## 37 <NA> Estuary Lower South Bay
## 38 <NA> Estuary Lower South Bay
## 39 <NA> Estuary Lower South Bay
## 40 <NA> Estuary Lower South Bay
## 41 <NA> Estuary Lower South Bay
## 42 <NA> Estuary Lower South Bay
## 43 <NA> Estuary Lower South Bay
## 44 <NA> Estuary Tomales Bay
## 45 <NA> Estuary Tomales Bay
## 46 <NA> Estuary Tomales Bay
## 47 <NA> Estuary Tomales Bay
## 48 <NA> Estuary Tomales Bay
## 49 <NA> Estuary Tomales Bay
## 50 <NA> Estuary Tomales Bay
## 51 <NA> Estuary Tomales Bay
## 52 <NA> Estuary Tomales Bay
## 53 <NA> Estuary Tomales Bay
## 54 <NA> Estuary Tomales Bay
## 55 <NA> Estuary Tomales Bay
## 56 <NA> Estuary Tomales Bay
## 57 <NA> Estuary Tomales Bay
## 58 <NA> Estuary Tomales Bay
## 59 <NA> Estuary Tomales Bay
## 60 <NA> Estuary Tomales Bay
## 61 <NA> Estuary Tomales Bay
## 62 <NA> Estuary Tomales Bay
## 63 <NA> Estuary Tomales Bay
## 64 <NA> Estuary Tomales Bay
## 65 <NA> Estuary Tomales Bay
## 66 <NA> Estuary Tomales Bay
## 67 <NA> Estuary Tomales Bay
## 68 <NA> Estuary Tomales Bay
## 69 <NA> Estuary Tomales Bay
## 70 <NA> Estuary Tomales Bay
## 71 <NA> Estuary Tomales Bay
## 72 <NA> Estuary Tomales Bay
## 73 <NA> Estuary Tomales Bay
## 74 <NA> Estuary Central Bay
## 75 <NA> Estuary Central Bay
## 76 <NA> Estuary Central Bay
## 77 <NA> Estuary Central Bay
## 78 <NA> Estuary Central Bay
## 79 <NA> Estuary Central Bay
## 80 <NA> Estuary Central Bay
## 81 <NA> Estuary Central Bay
## 82 <NA> Estuary Central Bay
## 83 <NA> Estuary Central Bay
## 84 <NA> Estuary Central Bay
## 85 <NA> Estuary Central Bay
## 86 <NA> Estuary Central Bay
## 87 <NA> Estuary Central Bay
## 88 <NA> Estuary Central Bay
## 89 <NA> Estuary Central Bay
## 90 <NA> Estuary Central Bay
## 91 <NA> Estuary Central Bay
## 92 <NA> Estuary Central Bay
## 93 <NA> Estuary Central Bay
## 94 <NA> Estuary Central Bay
## 95 <NA> Estuary Central Bay
## 96 <NA> Estuary Central Bay
## 97 <NA> Estuary Central Bay
## 98 <NA> Estuary Central Bay
## 99 <NA> Estuary Central Bay
## 100 <NA> Estuary Central Bay
## 101 <NA> Estuary Central Bay
## 102 <NA> Estuary Central Bay
## 103 <NA> Estuary Central Bay
## 104 <NA> Estuary Central Bay
## 105 <NA> Estuary Central Bay
## 106 <NA> Estuary Central Bay
## 107 <NA> Estuary Central Bay
## 108 <NA> Estuary Central Bay
## 109 <NA> Estuary Central Bay
## 110 <NA> Estuary Central Bay
## 111 <NA> Estuary Central Bay
## 112 <NA> Estuary <NA>
## 113 <NA> Estuary <NA>
## 114 <NA> Estuary <NA>
## 115 <NA> Estuary <NA>
## 116 <NA> Estuary <NA>
## 117 <NA> Estuary <NA>
## 118 <NA> Estuary <NA>
## 119 <NA> Estuary <NA>
## 120 <NA> Estuary <NA>
## 121 <NA> Estuary <NA>
## 122 <NA> Estuary South Bay
## 123 <NA> Estuary South Bay
## 124 <NA> Estuary South Bay
## 125 <NA> Estuary South Bay
## 126 <NA> Estuary South Bay
## 127 <NA> Estuary South Bay
## 128 <NA> Estuary South Bay
## 129 <NA> Estuary South Bay
## 130 <NA> Estuary South Bay
## 131 <NA> Estuary South Bay
## 132 <NA> Estuary South Bay
## 133 <NA> Estuary South Bay
## 134 <NA> Estuary South Bay
## 135 <NA> Estuary South Bay
## 136 <NA> Estuary South Bay
## 137 <NA> Estuary South Bay
## 138 <NA> Estuary South Bay
## 139 <NA> Estuary South Bay
## 140 <NA> Estuary South Bay
## 141 <NA> Estuary South Bay
## 142 <NA> Estuary Central Bay
## 143 <NA> Estuary Central Bay
## 144 <NA> Estuary Central Bay
## 145 <NA> Estuary Central Bay
## 146 <NA> Estuary Central Bay
## 147 <NA> Estuary Central Bay
## 148 <NA> Estuary Central Bay
## 149 <NA> Estuary Central Bay
## 150 <NA> Estuary Central Bay
## 151 <NA> Estuary Central Bay
## 152 <NA> Estuary Central Bay
## 153 <NA> Estuary Central Bay
## 154 <NA> Estuary Central Bay
## 155 <NA> Estuary Central Bay
## 156 <NA> Estuary Central Bay
## 157 <NA> Estuary Central Bay
## 158 <NA> Estuary Central Bay
## 159 <NA> Estuary Central Bay
## 160 <NA> Estuary Central Bay
## 161 <NA> Estuary Central Bay
## 162 <NA> Estuary SOSL
## 163 <NA> Estuary SOSL
## 164 <NA> Estuary SOSL
## 165 <NA> Estuary SOSL
## 166 <NA> Estuary SOSL
## 167 <NA> Estuary SOSL
## 168 <NA> Estuary SOSL
## 169 <NA> Estuary SOSL
## 170 <NA> Estuary SOSL
## 171 <NA> Estuary SOSL
## 172 <NA> Estuary Tomales Bay
## 173 <NA> Estuary Tomales Bay
## 174 <NA> Estuary Tomales Bay
## 175 <NA> Estuary Tomales Bay
## 176 <NA> Estuary Tomales Bay
## 177 <NA> Estuary Tomales Bay
## 178 <NA> Estuary Tomales Bay
## 179 <NA> Estuary Tomales Bay
## 180 <NA> Estuary Tomales Bay
## 181 <NA> Estuary Tomales Bay
## 182 <NA> Estuary SC
## 183 <NA> Estuary Central Bay
## 184 <NA> Estuary Central Bay
## 185 <NA> Estuary Central Bay
## 186 <NA> Estuary Central Bay
## 187 <NA> Estuary Lower South Bay
## 188 <NA> Estuary Lower South Bay
## 189 <NA> Estuary Lower South Bay
## 190 <NA> Estuary SC
## 191 <NA> Estuary South Bay
## 192 <NA> Estuary South Bay
## 193 <NA> Estuary South Bay
## 194 <NA> Estuary SOSL
## 195 <NA> Estuary SOSL
## 196 <NA> Estuary SPB
## 197 <NA> Estuary SPB
## 198 <NA> Estuary SUB
## 199 <NA> Estuary SUB
## 200 <NA> Estuary Tomales Bay
## 201 <NA> Estuary Tomales Bay
## 202 <NA> Estuary Central Bay
## 203 <NA> Estuary Central Bay
## 204 <NA> Estuary Central Bay
## 205 <NA> Estuary Central Bay
## 206 <NA> Estuary Central Bay
## 207 <NA> Estuary Central Bay
## 208 <NA> Estuary Central Bay
## 209 <NA> Estuary Central Bay
## 210 <NA> Estuary Central Bay
## 211 <NA> Estuary Central Bay
## 212 <NA> Estuary Central Bay
## 213 <NA> Estuary Central Bay
## 214 <NA> Estuary Central Bay
## 215 <NA> Estuary National Marine Sancturay
## 216 <NA> Estuary National Marine Sancturay
## 217 <NA> Estuary National Marine Sancturay
## 218 <NA> Estuary National Marine Sancturay
## 219 <NA> Estuary National Marine Sancturay
## 220 <NA> Estuary National Marine Sancturay
## 221 <NA> Estuary National Marine Sancturay
## 222 <NA> Estuary National Marine Sancturay
## 223 <NA> Estuary National Marine Sancturay
## 224 <NA> Estuary National Marine Sancturay
## 225 <NA> Estuary National Marine Sancturay
## 226 <NA> Estuary National Marine Sancturay
## 227 <NA> Estuary National Marine Sancturay
## 228 <NA> Estuary National Marine Sancturay
## 229 <NA> Estuary Lower South Bay
## 230 <NA> Estuary Lower South Bay
## 231 <NA> Estuary Lower South Bay
## 232 <NA> Estuary Lower South Bay
## 233 <NA> Estuary Lower South Bay
## 234 <NA> Estuary Lower South Bay
## 235 <NA> Estuary National Marine Sancturay
## 236 <NA> Estuary National Marine Sancturay
## 237 <NA> Estuary National Marine Sancturay
## 238 <NA> Estuary National Marine Sancturay
## 239 <NA> Estuary National Marine Sancturay
## 240 <NA> Estuary National Marine Sancturay
## 241 <NA> Estuary National Marine Sancturay
## 242 <NA> Estuary National Marine Sancturay
## 243 <NA> Estuary National Marine Sancturay
## 244 <NA> Estuary National Marine Sancturay
## 245 <NA> Estuary South Bay
## 246 <NA> Estuary South Bay
## 247 <NA> Estuary South Bay
## 248 <NA> Estuary South Bay
## 249 <NA> Estuary South Bay
## 250 <NA> Estuary South Bay
## 251 <NA> Estuary South Bay
## 252 <NA> Estuary South Bay
## 253 <NA> Estuary Treasure Island
## 254 <NA> Estuary Treasure Island
## 255 <NA> Estuary SPB
## 256 <NA> Estuary SPB
## 257 <NA> Estuary SPB
## 258 <NA> Estuary SPB
## 259 <NA> Estuary SPB
## 260 <NA> Estuary SPB
## 261 <NA> Estuary SPB
## 262 <NA> Estuary SPB
## 263 <NA> Estuary SUB
## 264 <NA> Estuary SUB
## 265 <NA> Estuary SUB
## 266 <NA> Estuary SUB
## 267 <NA> Estuary Central Bay
## 268 <NA> Estuary Central Bay
## 269 <NA> Estuary Central Bay
## 270 <NA> Estuary Central Bay
## 271 <NA> Estuary Central Bay
## 272 <NA> Estuary Central Bay
## 273 <NA> Estuary Central Bay
## 274 <NA> Estuary Central Bay
## 275 <NA> Estuary Central Bay
## 276 <NA> Estuary Central Bay
## 277 <NA> Estuary Central Bay
## 278 <NA> Estuary Central Bay
## 279 <NA> Estuary National Marine Sancturay
## 280 <NA> Estuary National Marine Sancturay
## 281 <NA> Estuary National Marine Sancturay
## 282 <NA> Estuary National Marine Sancturay
## 283 <NA> Estuary National Marine Sancturay
## 284 <NA> Estuary National Marine Sancturay
## 285 <NA> Estuary National Marine Sancturay
## 286 <NA> Estuary National Marine Sancturay
## 287 <NA> Estuary National Marine Sancturay
## 288 <NA> Estuary Lower South Bay
## 289 <NA> Estuary Lower South Bay
## 290 <NA> Estuary Lower South Bay
## 291 <NA> Estuary Lower South Bay
## 292 <NA> Estuary National Marine Sancturay
## 293 <NA> Estuary National Marine Sancturay
## 294 <NA> Estuary National Marine Sancturay
## 295 <NA> Estuary National Marine Sancturay
## 296 <NA> Estuary National Marine Sancturay
## 297 <NA> Estuary National Marine Sancturay
## 298 <NA> Estuary National Marine Sancturay
## 299 <NA> Estuary National Marine Sancturay
## 300 <NA> Estuary National Marine Sancturay
## 301 <NA> Estuary National Marine Sancturay
## 302 <NA> Estuary National Marine Sancturay
## 303 <NA> Estuary South Bay
## 304 <NA> Estuary South Bay
## 305 <NA> Estuary South Bay
## 306 <NA> Estuary South Bay
## 307 <NA> Estuary South Bay
## 308 <NA> Estuary South Bay
## 309 <NA> Estuary South Bay
## 310 <NA> Estuary SPB
## 311 <NA> Estuary SPB
## 312 <NA> Estuary SPB
## 313 <NA> Estuary SPB
## 314 <NA> Estuary SUB
## 315 <NA> Estuary SUB
## latitude longitude particles.L.blank.corrected
## 1 38.016 -122.254 1.6300000
## 2 38.018 -122.277 1.6500000
## 3 37.385832 -121.909581 7.2000000
## 4 37.65 -122.412 5.6300000
## 5 37.754 -122.204 4.9400000
## 6 37.762 -122.214 8.4300000
## 7 37.755 -122.201 10.0600000
## 8 37.37356 -121.93283 2.3100000
## 9 37.572638 -122.310769 1.0900000
## 10 37.917861 -122.33838 17.8400000
## 11 37.83429 -122.29349 12.3600000
## 12 37.746843 -122.200699 24.4100000
## 13 37.6952 -122.1858 0.0645000
## 14 37.6952 -122.1858 0.0115000
## 15 37.8236 -122.2956 0.1778000
## 16 37.8236 -122.2956 0.0421000
## 17 37.4527 -122.1108 0.0030000
## 18 37.4527 -122.1108 0.0054000
## 19 37.4332 -121.9522 0.0186000
## 20 37.4332 -121.9522 0.0233000
## 21 37.4193 -122.0162 0.0222000
## 22 37.9961 -122.0686 0.0778000
## 23 38.2233 -122.0829 0.0037000
## 24 38.2233 -122.0829 0.0055000
## 25 37.8236 -122.2956 0.1083000
## 26 37.7476 -122.3728 0.1593000
## 27 37.7476 -122.3728 0.1816000
## 28 37.4193 -122.0162 0.0075000
## 29 37.9961 -122.0686 0.0683000
## 30 37.4576 -122.0921 NA
## 31 37.4576 -122.0921 NA
## 32 37.4576 -122.0921 NA
## 33 37.4576 -122.0921 NA
## 34 37.4576 -122.0921 NA
## 35 37.4576 -122.0921 NA
## 36 37.4576 -122.0921 NA
## 37 37.4576 -122.0921 NA
## 38 37.4576 -122.0921 NA
## 39 37.4576 -122.0921 NA
## 40 37.4576 -122.0921 NA
## 41 37.4576 -122.0921 NA
## 42 37.4576 -122.0921 NA
## 43 37.4576 -122.0921 NA
## 44 38.2093 -122.9292 NA
## 45 38.2093 -122.9292 NA
## 46 38.2093 -122.9292 NA
## 47 38.2093 -122.9292 NA
## 48 38.2093 -122.9292 NA
## 49 38.2093 -122.9292 NA
## 50 38.2093 -122.9292 NA
## 51 38.2093 -122.9292 NA
## 52 38.2093 -122.9292 NA
## 53 38.2093 -122.9292 NA
## 54 38.0908 -122.8358 NA
## 55 38.0908 -122.8358 NA
## 56 38.0908 -122.8358 NA
## 57 38.0908 -122.8358 NA
## 58 38.0908 -122.8358 NA
## 59 38.0908 -122.8358 NA
## 60 38.0908 -122.8358 NA
## 61 38.0908 -122.8358 NA
## 62 38.0908 -122.8358 NA
## 63 38.0908 -122.8358 NA
## 64 38.2093 -122.9292 NA
## 65 38.2093 -122.9292 NA
## 66 38.2093 -122.9292 NA
## 67 38.2093 -122.9292 NA
## 68 38.2093 -122.9292 NA
## 69 38.2093 -122.9292 NA
## 70 38.2093 -122.9292 NA
## 71 38.2093 -122.9292 NA
## 72 38.2093 -122.9292 NA
## 73 38.2093 -122.9292 NA
## 74 37.7579 -122.3055 NA
## 75 37.7579 -122.3055 NA
## 76 37.7579 -122.3055 NA
## 77 37.7579 -122.3055 NA
## 78 37.7579 -122.3055 NA
## 79 37.7579 -122.3055 NA
## 80 37.7579 -122.3055 NA
## 81 37.7579 -122.3055 NA
## 82 37.7579 -122.3055 NA
## 83 37.7579 -122.3055 NA
## 84 37.7579 -122.3055 NA
## 85 37.7579 -122.3055 NA
## 86 37.7579 -122.3055 NA
## 87 37.7579 -122.3055 NA
## 88 37.7579 -122.3055 NA
## 89 37.7579 -122.3055 NA
## 90 37.7579 -122.3055 NA
## 91 37.7579 -122.3055 NA
## 92 37.7579 -122.3055 NA
## 93 37.7579 -122.3055 NA
## 94 37.9067 -122.3467 NA
## 95 37.9067 -122.3467 NA
## 96 37.9067 -122.3467 NA
## 97 37.9067 -122.3467 NA
## 98 37.9067 -122.3467 NA
## 99 37.9067 -122.3467 NA
## 100 37.9067 -122.3467 NA
## 101 37.9067 -122.3467 NA
## 102 37.9067 -122.3467 NA
## 103 37.9067 -122.3467 NA
## 104 37.9067 -122.3467 NA
## 105 37.9067 -122.3467 NA
## 106 37.9067 -122.3467 NA
## 107 37.9067 -122.3467 NA
## 108 37.9067 -122.3467 NA
## 109 37.9067 -122.3467 NA
## 110 37.9067 -122.3467 NA
## 111 37.9067 -122.3467 NA
## 112 37.4621 -122.0217 NA
## 113 37.4621 -122.0217 NA
## 114 37.4621 -122.0217 NA
## 115 37.4621 -122.0217 NA
## 116 37.4621 -122.0217 NA
## 117 37.4621 -122.0217 NA
## 118 37.4621 -122.0217 NA
## 119 37.4621 -122.0217 NA
## 120 37.4621 -122.0217 NA
## 121 37.4621 -122.0217 NA
## 122 37.5277 -122.184 NA
## 123 37.5277 -122.184 NA
## 124 37.5277 -122.184 NA
## 125 37.5277 -122.184 NA
## 126 37.5277 -122.184 NA
## 127 37.5277 -122.184 NA
## 128 37.5277 -122.184 NA
## 129 37.5277 -122.184 NA
## 130 37.5277 -122.184 NA
## 131 37.5277 -122.184 NA
## 132 37.5277 -122.184 NA
## 133 37.5277 -122.184 NA
## 134 37.5277 -122.184 NA
## 135 37.5277 -122.184 NA
## 136 37.5277 -122.184 NA
## 137 37.5277 -122.184 NA
## 138 37.5277 -122.184 NA
## 139 37.5277 -122.184 NA
## 140 37.5277 -122.184 NA
## 141 37.5277 -122.184 NA
## 142 37.6414 -122.3945 NA
## 143 37.6414 -122.3945 NA
## 144 37.6414 -122.3945 NA
## 145 37.6414 -122.3945 NA
## 146 37.6414 -122.3945 NA
## 147 37.6414 -122.3945 NA
## 148 37.6414 -122.3945 NA
## 149 37.6414 -122.3945 NA
## 150 37.6414 -122.3945 NA
## 151 37.6414 -122.3945 NA
## 152 37.6414 -122.3945 NA
## 153 37.6414 -122.3945 NA
## 154 37.6414 -122.3945 NA
## 155 37.6414 -122.3945 NA
## 156 37.6414 -122.3945 NA
## 157 37.6414 -122.3945 NA
## 158 37.6414 -122.3945 NA
## 159 37.6414 -122.3945 NA
## 160 37.6414 -122.3945 NA
## 161 37.6414 -122.3945 NA
## 162 37.4621 -122.0217 NA
## 163 37.4621 -122.0217 NA
## 164 37.4621 -122.0217 NA
## 165 37.4621 -122.0217 NA
## 166 37.4621 -122.0217 NA
## 167 37.4621 -122.0217 NA
## 168 37.4621 -122.0217 NA
## 169 37.4621 -122.0217 NA
## 170 37.4621 -122.0217 NA
## 171 37.4621 -122.0217 NA
## 172 38.0908 -122.8358 NA
## 173 38.0908 -122.8358 NA
## 174 38.0908 -122.8358 NA
## 175 38.0908 -122.8358 NA
## 176 38.0908 -122.8358 NA
## 177 38.0908 -122.8358 NA
## 178 38.0908 -122.8358 NA
## 179 38.0908 -122.8358 NA
## 180 38.0908 -122.8358 NA
## 181 38.0908 -122.8358 NA
## 182 37.8766 -122.3615 NA
## 183 37.9067 -122.3467 NA
## 184 37.8279 -122.3034 NA
## 185 37.7566 -122.2204 NA
## 186 37.6414 -122.3945 NA
## 187 37.4628 -122.105 NA
## 188 37.4864 -122.069 NA
## 189 37.4576 -122.092 NA
## 190 37.6104 -122.167 NA
## 191 37.6018 -122.362 NA
## 192 37.5605 -122.131 NA
## 193 37.5277 -122.184 NA
## 194 37.4576 -122.04 NA
## 195 37.4621 -122.022 NA
## 196 38.0157 -122.3002 NA
## 197 38.1084 -122.4881 NA
## 198 38.1362 -122.035 NA
## 199 38.0441 -122.0969 NA
## 200 38.2093 -122.9292 NA
## 201 38.0908 -122.8358 NA
## 202 37.92 -122.44 0.0000230
## 203 37.92 -122.43 0.0061140
## 204 37.84 -122.42 0.0004390
## 205 37.85 -122.41 0.0018880
## 206 37.85 -122.41 0.0005110
## 207 37.83 -122.32 0.0000830
## 208 37.83 -122.32 0.0004640
## 209 N/A N/A 0.0007740
## 210 37.78 -122.35 0.0007290
## 211 37.75 -122.23 0.0022650
## 212 37.75 -122.23 0.0043430
## 213 37.69 -122.29 0.0001880
## 214 37.69 -122.3 0.0555910
## 215 38.1 -123.11 0.0000880
## 216 38.11 -123.11 0.0001630
## 217 38.02 -123.33 0.0001260
## 218 38.03 -123.31 0.0001390
## 219 37.99 -123.5 0.0000000
## 220 N/A N/A 0.0000230
## 221 37.97 -122.93 0.0002180
## 222 37.97 -122.93 0.0000200
## 223 37.82 -123.02 0.0000790
## 224 37.82 -123.01 0.0001390
## 225 37.75 -123.26 0.0000780
## 226 37.73 -123.26 0.0000050
## 227 37.81 -122.76 0.0000960
## 228 37.81 -122.76 0.0000560
## 229 37.47 -122.06 0.0009820
## 230 37.48 -122.08 0.0002660
## 231 37.46 -122.08 0.0003570
## 232 37.47 -122.09 0.0002480
## 233 37.46 -122.03 0.0001530
## 234 37.45 -122.03 0.0005160
## 235 37.81 -122.47 0.0003960
## 236 37.79 -122.5 0.0002940
## 237 37.8 -122.5 0.0002730
## 238 37.81 -122.51 0.0000190
## 239 37.67 -122.61 0.0000380
## 240 37.67 -122.61 0.0000680
## 241 37.51 -122.57 0.0000540
## 242 37.51 -122.58 0.0000380
## 243 37.44 -122.93 0.0000680
## 244 37.45 -122.93 0.0000240
## 245 37.65 -122.24 0.0001120
## 246 37.65 -122.23 0.0002360
## 247 37.6 -122.25 0.0001810
## 248 37.59 -122.2 0.0026050
## 249 37.59 -122.28 0.0001280
## 250 37.58 -122.27 0.0004880
## 251 37.57 -122.21 0.0028990
## 252 37.56 -122.22 0.0013840
## 253 37.82 -122.36 0.0004260
## 254 37.82 -122.36 0.0004260
## 255 38.05 -122.42 0.0000590
## 256 38.05 -122.42 0.0000590
## 257 38.06 -122.42 0.0000920
## 258 38.06 -122.42 0.0000920
## 259 38.64 -122.37 0.0006370
## 260 38.64 -122.37 0.0006370
## 261 38.02 -122.37 0.0014090
## 262 38.02 -122.37 0.0014090
## 263 38.11 -122.06 0.0000810
## 264 38.11 -122.06 0.0000810
## 265 38.11 -122.06 0.0001310
## 266 38.11 -122.06 0.0001310
## 267 37.9156 -122.4412 3.4653465
## 268 37.9229 -122.4330 2.7348777
## 269 37.8430 -122.4150 7.4331021
## 270 37.8445 -122.4069 0.6277464
## 271 37.8342 -122.3204 1.9509595
## 272 37.8339 -122.3221 4.9844237
## 273 N/A N/A 2.3251073
## 274 37.7795 -122.3537 1.5827794
## 275 37.7514 -122.2260 2.7035623
## 276 37.7505 -122.2278 2.5510204
## 277 37.6872 -122.2909 6.5789474
## 278 37.6936 -122.2991 18.7110187
## 279 38.1068 -123.1138 3.0000000
## 280 38.0346 -123.3131 1.6404199
## 281 37.9853 -123.4973 8.6715227
## 282 37.8128 -122.4723 0.6523157
## 283 37.9670 -122.9272 0.0000000
## 284 37.9695 -122.9270 1.8115942
## 285 37.8213 -123.0068 0.7095745
## 286 37.7327 -123.2630 1.2626263
## 287 37.8058 -122.7561 3.6647546
## 288 37.4801 -122.0781 3.0984997
## 289 37.4654 -122.0912 1.2795905
## 290 37.4528 -122.0331 7.6190476
## 291 37.4645 -122.0271 2.4122807
## 292 37.8208 -123.0177 13.5732323
## 293 37.8064 -122.7583 2.3832221
## 294 37.8053 -122.5082 0.9433962
## 295 37.7985 -122.5049 35.7031494
## 296 37.7935 -122.5030 2.2525988
## 297 37.6726 -122.6108 2.2022684
## 298 37.6718 -122.6110 1.6056519
## 299 37.5070 -122.5804 4.2694497
## 300 N/A N/A 3.5020694
## 301 37.4504 -122.9320 18.7659033
## 302 37.4446 -122.9280 6.2984496
## 303 37.6534 -122.2281 0.9980040
## 304 37.6500 -122.2433 6.1443932
## 305 37.5863 -122.2022 3.3460803
## 306 37.5983 -122.2502 1.5957447
## 307 37.5829 -122.2708 2.6666667
## 308 37.5649 -122.2227 4.3383948
## 309 37.5701 -122.2129 9.9313832
## 310 38.0513 -122.4218 3.3333333
## 311 38.0598 -122.4244 2.8333333
## 312 38.6405 -122.3716 5.0860720
## 313 38.0239 -122.3682 5.2430887
## 314 38.1071 -122.0563 2.7646130
## 315 38.1079 -122.0570 4.4275775
## particles.fish.blank.corrected particles.kg.blank.corrected sample.matrix
## 1 NA NA water
## 2 NA NA water
## 3 NA NA water
## 4 NA NA water
## 5 NA NA water
## 6 NA NA water
## 7 NA NA water
## 8 NA NA water
## 9 NA NA water
## 10 NA NA water
## 11 NA NA water
## 12 NA NA water
## 13 NA NA water
## 14 NA NA water
## 15 NA NA water
## 16 NA NA water
## 17 NA NA water
## 18 NA NA water
## 19 NA NA water
## 20 NA NA water
## 21 NA NA water
## 22 NA NA water
## 23 NA NA water
## 24 NA NA water
## 25 NA NA water
## 26 NA NA water
## 27 NA NA water
## 28 NA NA water
## 29 NA NA water
## 30 24.27 NA fish
## 31 6.60 NA fish
## 32 0.87 NA fish
## 33 1.00 NA fish
## 34 0.93 NA fish
## 35 3.53 NA fish
## 36 2.40 NA fish
## 37 45.07 NA fish
## 38 8.00 NA fish
## 39 11.67 NA fish
## 40 5.73 NA fish
## 41 5.87 NA fish
## 42 14.47 NA fish
## 43 1.80 NA fish
## 44 0.00 NA fish
## 45 0.00 NA fish
## 46 1.73 NA fish
## 47 0.13 NA fish
## 48 1.80 NA fish
## 49 1.00 NA fish
## 50 5.47 NA fish
## 51 3.87 NA fish
## 52 7.40 NA fish
## 53 6.00 NA fish
## 54 5.47 NA fish
## 55 3.60 NA fish
## 56 0.00 NA fish
## 57 2.00 NA fish
## 58 2.67 NA fish
## 59 1.60 NA fish
## 60 1.13 NA fish
## 61 1.60 NA fish
## 62 1.60 NA fish
## 63 0.87 NA fish
## 64 6.33 NA fish
## 65 0.13 NA fish
## 66 15.40 NA fish
## 67 11.27 NA fish
## 68 11.40 NA fish
## 69 3.27 NA fish
## 70 11.33 NA fish
## 71 1.87 NA fish
## 72 2.40 NA fish
## 73 1.00 NA fish
## 74 11.13 NA fish
## 75 9.07 NA fish
## 76 3.93 NA fish
## 77 8.87 NA fish
## 78 9.40 NA fish
## 79 3.40 NA fish
## 80 9.00 NA fish
## 81 16.40 NA fish
## 82 6.60 NA fish
## 83 1.80 NA fish
## 84 17.53 NA fish
## 85 17.27 NA fish
## 86 11.07 NA fish
## 87 24.00 NA fish
## 88 20.33 NA fish
## 89 14.53 NA fish
## 90 17.73 NA fish
## 91 9.53 NA fish
## 92 13.47 NA fish
## 93 14.60 NA fish
## 94 35.13 NA fish
## 95 20.40 NA fish
## 96 28.13 NA fish
## 97 13.13 NA fish
## 98 13.13 NA fish
## 99 5.73 NA fish
## 100 14.40 NA fish
## 101 15.07 NA fish
## 102 21.93 NA fish
## 103 7.40 NA fish
## 104 21.60 NA fish
## 105 35.40 NA fish
## 106 22.53 NA fish
## 107 6.67 NA fish
## 108 12.33 NA fish
## 109 18.87 NA fish
## 110 8.40 NA fish
## 111 3.40 NA fish
## 112 9.00 NA fish
## 113 0.73 NA fish
## 114 2.47 NA fish
## 115 7.27 NA fish
## 116 2.40 NA fish
## 117 1.67 NA fish
## 118 2.73 NA fish
## 119 5.40 NA fish
## 120 0.73 NA fish
## 121 1.67 NA fish
## 122 3.60 NA fish
## 123 1.73 NA fish
## 124 1.00 NA fish
## 125 1.67 NA fish
## 126 12.87 NA fish
## 127 4.53 NA fish
## 128 3.40 NA fish
## 129 3.73 NA fish
## 130 1.87 NA fish
## 131 4.73 NA fish
## 132 10.13 NA fish
## 133 27.13 NA fish
## 134 31.20 NA fish
## 135 35.13 NA fish
## 136 27.00 NA fish
## 137 24.00 NA fish
## 138 56.13 NA fish
## 139 16.27 NA fish
## 140 21.13 NA fish
## 141 28.13 NA fish
## 142 22.27 NA fish
## 143 9.27 NA fish
## 144 24.07 NA fish
## 145 7.40 NA fish
## 146 12.27 NA fish
## 147 7.13 NA fish
## 148 7.53 NA fish
## 149 7.87 NA fish
## 150 2.13 NA fish
## 151 1.93 NA fish
## 152 7.87 NA fish
## 153 1.53 NA fish
## 154 2.80 NA fish
## 155 8.40 NA fish
## 156 12.40 NA fish
## 157 3.87 NA fish
## 158 8.87 NA fish
## 159 6.47 NA fish
## 160 4.53 NA fish
## 161 2.87 NA fish
## 162 32.93 NA fish
## 163 15.60 NA fish
## 164 44.13 NA fish
## 165 17.47 NA fish
## 166 4.00 NA fish
## 167 6.53 NA fish
## 168 8.80 NA fish
## 169 10.27 NA fish
## 170 7.80 NA fish
## 171 0.80 NA fish
## 172 20.47 NA fish
## 173 13.33 NA fish
## 174 4.27 NA fish
## 175 2.60 NA fish
## 176 6.40 NA fish
## 177 6.47 NA fish
## 178 1.00 NA fish
## 179 3.73 NA fish
## 180 2.27 NA fish
## 181 5.60 NA fish
## 182 NA 425.56 sediment
## 183 NA 1140.55 sediment
## 184 NA 1610.94 sediment
## 185 NA 12095.68 sediment
## 186 NA 2730.69 sediment
## 187 NA 42104.17 sediment
## 188 NA 3647.26 sediment
## 189 NA 7108.70 sediment
## 190 NA 2893.81 sediment
## 191 NA 835.84 sediment
## 192 NA 26.67 sediment
## 193 NA 313.33 sediment
## 194 NA 9270.83 sediment
## 195 NA 7045.45 sediment
## 196 NA 567.78 sediment
## 197 NA 1028.07 sediment
## 198 NA 250.00 sediment
## 199 NA 131.02 sediment
## 200 NA 100.07 sediment
## 201 NA 216.38 sediment
## 202 NA NA water
## 203 NA NA water
## 204 NA NA water
## 205 NA NA water
## 206 NA NA water
## 207 NA NA water
## 208 NA NA water
## 209 NA NA water
## 210 NA NA water
## 211 NA NA water
## 212 NA NA water
## 213 NA NA water
## 214 NA NA water
## 215 NA NA water
## 216 NA NA water
## 217 NA NA water
## 218 NA NA water
## 219 NA NA water
## 220 NA NA water
## 221 NA NA water
## 222 NA NA water
## 223 NA NA water
## 224 NA NA water
## 225 NA NA water
## 226 NA NA water
## 227 NA NA water
## 228 NA NA water
## 229 NA NA water
## 230 NA NA water
## 231 NA NA water
## 232 NA NA water
## 233 NA NA water
## 234 NA NA water
## 235 NA NA water
## 236 NA NA water
## 237 NA NA water
## 238 NA NA water
## 239 NA NA water
## 240 NA NA water
## 241 NA NA water
## 242 NA NA water
## 243 NA NA water
## 244 NA NA water
## 245 NA NA water
## 246 NA NA water
## 247 NA NA water
## 248 NA NA water
## 249 NA NA water
## 250 NA NA water
## 251 NA NA water
## 252 NA NA water
## 253 NA NA water
## 254 NA NA water
## 255 NA NA water
## 256 NA NA water
## 257 NA NA water
## 258 NA NA water
## 259 NA NA water
## 260 NA NA water
## 261 NA NA water
## 262 NA NA water
## 263 NA NA water
## 264 NA NA water
## 265 NA NA water
## 266 NA NA water
## 267 NA NA water
## 268 NA NA water
## 269 NA NA water
## 270 NA NA water
## 271 NA NA water
## 272 NA NA water
## 273 NA NA water
## 274 NA NA water
## 275 NA NA water
## 276 NA NA water
## 277 NA NA water
## 278 NA NA water
## 279 NA NA water
## 280 NA NA water
## 281 NA NA water
## 282 NA NA water
## 283 NA NA water
## 284 NA NA water
## 285 NA NA water
## 286 NA NA water
## 287 NA NA water
## 288 NA NA water
## 289 NA NA water
## 290 NA NA water
## 291 NA NA water
## 292 NA NA water
## 293 NA NA water
## 294 NA NA water
## 295 NA NA water
## 296 NA NA water
## 297 NA NA water
## 298 NA NA water
## 299 NA NA water
## 300 NA NA water
## 301 NA NA water
## 302 NA NA water
## 303 NA NA water
## 304 NA NA water
## 305 NA NA water
## 306 NA NA water
## 307 NA NA water
## 308 NA NA water
## 309 NA NA water
## 310 NA NA water
## 311 NA NA water
## 312 NA NA water
## 313 NA NA water
## 314 NA NA water
## 315 NA NA water
## sample.matrix.specific Sampling.apparatus x1M x2M
## 1 stormwater depth-integrated perisaltic pump 106 5000
## 2 stormwater depth-integrated perisaltic pump 106 5000
## 3 stormwater depth-integrated perisaltic pump 106 5000
## 4 stormwater depth-integrated perisaltic pump 106 5000
## 5 stormwater depth-integrated perisaltic pump 106 5000
## 6 stormwater depth-integrated perisaltic pump 106 5000
## 7 stormwater depth-integrated perisaltic pump 106 5000
## 8 stormwater depth-integrated perisaltic pump 106 5000
## 9 stormwater depth-integrated perisaltic pump 106 5000
## 10 stormwater depth-integrated perisaltic pump 106 5000
## 11 stormwater depth-integrated perisaltic pump 106 5000
## 12 stormwater depth-integrated perisaltic pump 106 5000
## 13 wastewater Composite 110 5000
## 14 wastewater Composite 110 5000
## 15 wastewater Composite 110 5000
## 16 wastewater Composite 110 5000
## 17 wastewater Composite 110 5000
## 18 wastewater Composite 110 5000
## 19 wastewater Composite 110 5000
## 20 wastewater Composite 110 5000
## 21 wastewater Composite 110 5000
## 22 wastewater Composite 110 5000
## 23 wastewater Composite 110 5000
## 24 wastewater Composite 110 5000
## 25 wastewater Composite 110 5000
## 26 wastewater Composite 110 5000
## 27 wastewater Composite 110 5000
## 28 wastewater Composite 110 5000
## 29 wastewater Composite 110 5000
## 30 anchovy otter trawl/cast net 25 5000
## 31 anchovy otter trawl/cast net 25 5000
## 32 anchovy otter trawl/cast net 25 5000
## 33 topsmelt otter trawl/cast net 25 5000
## 34 topsmelt otter trawl/cast net 25 5000
## 35 topsmelt otter trawl/cast net 25 5000
## 36 topsmelt otter trawl/cast net 25 5000
## 37 anchovy otter trawl/cast net 25 5000
## 38 topsmelt otter trawl/cast net 25 5000
## 39 topsmelt otter trawl/cast net 25 5000
## 40 topsmelt otter trawl/cast net 25 5000
## 41 topsmelt otter trawl/cast net 25 5000
## 42 topsmelt otter trawl/cast net 25 5000
## 43 topsmelt otter trawl/cast net 25 5000
## 44 anchovy otter trawl/cast net 25 5000
## 45 anchovy otter trawl/cast net 25 5000
## 46 anchovy otter trawl/cast net 25 5000
## 47 anchovy otter trawl/cast net 25 5000
## 48 anchovy otter trawl/cast net 25 5000
## 49 anchovy otter trawl/cast net 25 5000
## 50 anchovy otter trawl/cast net 25 5000
## 51 anchovy otter trawl/cast net 25 5000
## 52 anchovy otter trawl/cast net 25 5000
## 53 anchovy otter trawl/cast net 25 5000
## 54 anchovy otter trawl/cast net 25 5000
## 55 anchovy otter trawl/cast net 25 5000
## 56 anchovy otter trawl/cast net 25 5000
## 57 anchovy otter trawl/cast net 25 5000
## 58 anchovy otter trawl/cast net 25 5000
## 59 anchovy otter trawl/cast net 25 5000
## 60 anchovy otter trawl/cast net 25 5000
## 61 anchovy otter trawl/cast net 25 5000
## 62 anchovy otter trawl/cast net 25 5000
## 63 anchovy otter trawl/cast net 25 5000
## 64 topsmelt otter trawl/cast net 25 5000
## 65 topsmelt otter trawl/cast net 25 5000
## 66 topsmelt otter trawl/cast net 25 5000
## 67 topsmelt otter trawl/cast net 25 5000
## 68 topsmelt otter trawl/cast net 25 5000
## 69 topsmelt otter trawl/cast net 25 5000
## 70 topsmelt otter trawl/cast net 25 5000
## 71 topsmelt otter trawl/cast net 25 5000
## 72 topsmelt otter trawl/cast net 25 5000
## 73 topsmelt otter trawl/cast net 25 5000
## 74 topsmelt otter trawl/cast net 25 5000
## 75 topsmelt otter trawl/cast net 25 5000
## 76 topsmelt otter trawl/cast net 25 5000
## 77 topsmelt otter trawl/cast net 25 5000
## 78 topsmelt otter trawl/cast net 25 5000
## 79 topsmelt otter trawl/cast net 25 5000
## 80 topsmelt otter trawl/cast net 25 5000
## 81 topsmelt otter trawl/cast net 25 5000
## 82 topsmelt otter trawl/cast net 25 5000
## 83 topsmelt otter trawl/cast net 25 5000
## 84 anchovy otter trawl/cast net 25 5000
## 85 anchovy otter trawl/cast net 25 5000
## 86 anchovy otter trawl/cast net 25 5000
## 87 anchovy otter trawl/cast net 25 5000
## 88 anchovy otter trawl/cast net 25 5000
## 89 anchovy otter trawl/cast net 25 5000
## 90 anchovy otter trawl/cast net 25 5000
## 91 anchovy otter trawl/cast net 25 5000
## 92 anchovy otter trawl/cast net 25 5000
## 93 anchovy otter trawl/cast net 25 5000
## 94 anchovy otter trawl/cast net 25 5000
## 95 anchovy otter trawl/cast net 25 5000
## 96 anchovy otter trawl/cast net 25 5000
## 97 anchovy otter trawl/cast net 25 5000
## 98 anchovy otter trawl/cast net 25 5000
## 99 anchovy otter trawl/cast net 25 5000
## 100 anchovy otter trawl/cast net 25 5000
## 101 anchovy otter trawl/cast net 25 5000
## 102 anchovy otter trawl/cast net 25 5000
## 103 anchovy otter trawl/cast net 25 5000
## 104 topsmelt otter trawl/cast net 25 5000
## 105 topsmelt otter trawl/cast net 25 5000
## 106 topsmelt otter trawl/cast net 25 5000
## 107 topsmelt otter trawl/cast net 25 5000
## 108 topsmelt otter trawl/cast net 25 5000
## 109 topsmelt otter trawl/cast net 25 5000
## 110 topsmelt otter trawl/cast net 25 5000
## 111 topsmelt otter trawl/cast net 25 5000
## 112 anchovy otter trawl/cast net 25 5000
## 113 anchovy otter trawl/cast net 25 5000
## 114 anchovy otter trawl/cast net 25 5000
## 115 anchovy otter trawl/cast net 25 5000
## 116 anchovy otter trawl/cast net 25 5000
## 117 anchovy otter trawl/cast net 25 5000
## 118 anchovy otter trawl/cast net 25 5000
## 119 anchovy otter trawl/cast net 25 5000
## 120 anchovy otter trawl/cast net 25 5000
## 121 anchovy otter trawl/cast net 25 5000
## 122 anchovy otter trawl/cast net 25 5000
## 123 anchovy otter trawl/cast net 25 5000
## 124 anchovy otter trawl/cast net 25 5000
## 125 anchovy otter trawl/cast net 25 5000
## 126 anchovy otter trawl/cast net 25 5000
## 127 anchovy otter trawl/cast net 25 5000
## 128 anchovy otter trawl/cast net 25 5000
## 129 anchovy otter trawl/cast net 25 5000
## 130 anchovy otter trawl/cast net 25 5000
## 131 anchovy otter trawl/cast net 25 5000
## 132 topsmelt otter trawl/cast net 25 5000
## 133 topsmelt otter trawl/cast net 25 5000
## 134 topsmelt otter trawl/cast net 25 5000
## 135 topsmelt otter trawl/cast net 25 5000
## 136 topsmelt otter trawl/cast net 25 5000
## 137 topsmelt otter trawl/cast net 25 5000
## 138 topsmelt otter trawl/cast net 25 5000
## 139 topsmelt otter trawl/cast net 25 5000
## 140 topsmelt otter trawl/cast net 25 5000
## 141 topsmelt otter trawl/cast net 25 5000
## 142 anchovy otter trawl/cast net 25 5000
## 143 anchovy otter trawl/cast net 25 5000
## 144 anchovy otter trawl/cast net 25 5000
## 145 anchovy otter trawl/cast net 25 5000
## 146 anchovy otter trawl/cast net 25 5000
## 147 anchovy otter trawl/cast net 25 5000
## 148 anchovy otter trawl/cast net 25 5000
## 149 anchovy otter trawl/cast net 25 5000
## 150 anchovy otter trawl/cast net 25 5000
## 151 anchovy otter trawl/cast net 25 5000
## 152 topsmelt otter trawl/cast net 25 5000
## 153 topsmelt otter trawl/cast net 25 5000
## 154 topsmelt otter trawl/cast net 25 5000
## 155 topsmelt otter trawl/cast net 25 5000
## 156 topsmelt otter trawl/cast net 25 5000
## 157 topsmelt otter trawl/cast net 25 5000
## 158 topsmelt otter trawl/cast net 25 5000
## 159 topsmelt otter trawl/cast net 25 5000
## 160 topsmelt otter trawl/cast net 25 5000
## 161 topsmelt otter trawl/cast net 25 5000
## 162 topsmelt otter trawl/cast net 25 5000
## 163 topsmelt otter trawl/cast net 25 5000
## 164 topsmelt otter trawl/cast net 25 5000
## 165 topsmelt otter trawl/cast net 25 5000
## 166 topsmelt otter trawl/cast net 25 5000
## 167 topsmelt otter trawl/cast net 25 5000
## 168 topsmelt otter trawl/cast net 25 5000
## 169 topsmelt otter trawl/cast net 25 5000
## 170 topsmelt otter trawl/cast net 25 5000
## 171 topsmelt otter trawl/cast net 25 5000
## 172 topsmelt otter trawl/cast net 25 5000
## 173 topsmelt otter trawl/cast net 25 5000
## 174 topsmelt otter trawl/cast net 25 5000
## 175 topsmelt otter trawl/cast net 25 5000
## 176 topsmelt otter trawl/cast net 25 5000
## 177 topsmelt otter trawl/cast net 25 5000
## 178 topsmelt otter trawl/cast net 25 5000
## 179 topsmelt otter trawl/cast net 25 5000
## 180 topsmelt otter trawl/cast net 25 5000
## 181 topsmelt otter trawl/cast net 25 5000
## 182 sediment Van Veen Grab 45 5000
## 183 sediment Van Veen Grab 45 5000
## 184 sediment Van Veen Grab 45 5000
## 185 sediment Van Veen Grab 45 5000
## 186 sediment Van Veen Grab 45 5000
## 187 sediment Van Veen Grab 45 5000
## 188 sediment Van Veen Grab 45 5000
## 189 sediment Van Veen Grab 45 5000
## 190 sediment Van Veen Grab 45 5000
## 191 sediment Van Veen Grab 45 5000
## 192 sediment Van Veen Grab 45 5000
## 193 sediment Van Veen Grab 45 5000
## 194 sediment Van Veen Grab 45 5000
## 195 sediment Van Veen Grab 45 5000
## 196 sediment Van Veen Grab 45 5000
## 197 sediment Van Veen Grab 45 5000
## 198 sediment Van Veen Grab 45 5000
## 199 sediment Van Veen Grab 45 5000
## 200 sediment Van Veen Grab 45 5000
## 201 sediment Van Veen Grab 45 5000
## 202 surface water Manta Trawl 333 5000
## 203 surface water Manta Trawl 333 5000
## 204 surface water Manta Trawl 333 5000
## 205 surface water Manta Trawl 333 5000
## 206 surface water Manta Trawl 333 5000
## 207 surface water Manta Trawl 333 5000
## 208 surface water Manta Trawl 333 5000
## 209 surface water Manta Trawl 333 5000
## 210 surface water Manta Trawl 333 5000
## 211 surface water Manta Trawl 333 5000
## 212 surface water Manta Trawl 333 5000
## 213 surface water Manta Trawl 333 5000
## 214 surface water Manta Trawl 333 5000
## 215 surface water Manta Trawl 333 5000
## 216 surface water Manta Trawl 333 5000
## 217 surface water Manta Trawl 333 5000
## 218 surface water Manta Trawl 333 5000
## 219 surface water Manta Trawl 333 5000
## 220 surface water Manta Trawl 333 5000
## 221 surface water Manta Trawl 333 5000
## 222 surface water Manta Trawl 333 5000
## 223 surface water Manta Trawl 333 5000
## 224 surface water Manta Trawl 333 5000
## 225 surface water Manta Trawl 333 5000
## 226 surface water Manta Trawl 333 5000
## 227 surface water Manta Trawl 333 5000
## 228 surface water Manta Trawl 333 5000
## 229 surface water Manta Trawl 333 5000
## 230 surface water Manta Trawl 333 5000
## 231 surface water Manta Trawl 333 5000
## 232 surface water Manta Trawl 333 5000
## 233 surface water Manta Trawl 333 5000
## 234 surface water Manta Trawl 333 5000
## 235 surface water Manta Trawl 333 5000
## 236 surface water Manta Trawl 333 5000
## 237 surface water Manta Trawl 333 5000
## 238 surface water Manta Trawl 333 5000
## 239 surface water Manta Trawl 333 5000
## 240 surface water Manta Trawl 333 5000
## 241 surface water Manta Trawl 333 5000
## 242 surface water Manta Trawl 333 5000
## 243 surface water Manta Trawl 333 5000
## 244 surface water Manta Trawl 333 5000
## 245 surface water Manta Trawl 333 5000
## 246 surface water Manta Trawl 333 5000
## 247 surface water Manta Trawl 333 5000
## 248 surface water Manta Trawl 333 5000
## 249 surface water Manta Trawl 333 5000
## 250 surface water Manta Trawl 333 5000
## 251 surface water Manta Trawl 333 5000
## 252 surface water Manta Trawl 333 5000
## 253 surface water Manta Trawl 333 5000
## 254 surface water Manta Trawl 333 5000
## 255 surface water Manta Trawl 333 5000
## 256 surface water Manta Trawl 333 5000
## 257 surface water Manta Trawl 333 5000
## 258 surface water Manta Trawl 333 5000
## 259 surface water Manta Trawl 333 5000
## 260 surface water Manta Trawl 333 5000
## 261 surface water Manta Trawl 333 5000
## 262 surface water Manta Trawl 333 5000
## 263 surface water Manta Trawl 333 5000
## 264 surface water Manta Trawl 333 5000
## 265 surface water Manta Trawl 333 5000
## 266 surface water Manta Trawl 333 5000
## 267 surface water 1-L grab 50 5000
## 268 surface water 1-L grab 50 5000
## 269 surface water 1-L grab 50 5000
## 270 surface water 1-L grab 50 5000
## 271 surface water 1-L grab 50 5000
## 272 surface water 1-L grab 50 5000
## 273 surface water 1-L grab 50 5000
## 274 surface water 1-L grab 50 5000
## 275 surface water 1-L grab 50 5000
## 276 surface water 1-L grab 50 5000
## 277 surface water 1-L grab 50 5000
## 278 surface water 1-L grab 50 5000
## 279 surface water 1-L grab 50 5000
## 280 surface water 1-L grab 50 5000
## 281 surface water 1-L grab 50 5000
## 282 surface water 1-L grab 50 5000
## 283 surface water 1-L grab 50 5000
## 284 surface water 1-L grab 50 5000
## 285 surface water 1-L grab 50 5000
## 286 surface water 1-L grab 50 5000
## 287 surface water 1-L grab 50 5000
## 288 surface water 1-L grab 50 5000
## 289 surface water 1-L grab 50 5000
## 290 surface water 1-L grab 50 5000
## 291 surface water 1-L grab 50 5000
## 292 surface water 1-L grab 50 5000
## 293 surface water 1-L grab 50 5000
## 294 surface water 1-L grab 50 5000
## 295 surface water 1-L grab 50 5000
## 296 surface water 1-L grab 50 5000
## 297 surface water 1-L grab 50 5000
## 298 surface water 1-L grab 50 5000
## 299 surface water 1-L grab 50 5000
## 300 surface water 1-L grab 50 5000
## 301 surface water 1-L grab 50 5000
## 302 surface water 1-L grab 50 5000
## 303 surface water 1-L grab 50 5000
## 304 surface water 1-L grab 50 5000
## 305 surface water 1-L grab 50 5000
## 306 surface water 1-L grab 50 5000
## 307 surface water 1-L grab 50 5000
## 308 surface water 1-L grab 50 5000
## 309 surface water 1-L grab 50 5000
## 310 surface water 1-L grab 50 5000
## 311 surface water 1-L grab 50 5000
## 312 surface water 1-L grab 50 5000
## 313 surface water 1-L grab 50 5000
## 314 surface water 1-L grab 50 5000
## 315 surface water 1-L grab 50 5000
## Sample.Type season fiber.correction.factor fiber.correction.factor.sd
## 1 sample <NA> 1.000000 NA
## 2 sample <NA> 1.000000 NA
## 3 sample <NA> 1.000000 NA
## 4 sample <NA> 1.000000 NA
## 5 sample <NA> 1.000000 NA
## 6 sample <NA> 1.000000 NA
## 7 sample <NA> 1.000000 NA
## 8 sample <NA> 1.000000 NA
## 9 sample <NA> 1.000000 NA
## 10 sample <NA> 1.000000 NA
## 11 sample <NA> 1.000000 NA
## 12 sample <NA> 1.000000 NA
## 13 sample dry 1.000000 NA
## 14 sample dry 1.000000 NA
## 15 sample dry 1.000000 NA
## 16 sample dry 1.000000 NA
## 17 sample dry 1.000000 NA
## 18 sample <NA> 1.000000 NA
## 19 sample dry 1.000000 NA
## 20 sample dry 1.000000 NA
## 21 sample dry 1.000000 NA
## 22 sample dry 1.000000 NA
## 23 sample dry 1.000000 NA
## 24 sample dry 1.000000 NA
## 25 sample <NA> 1.000000 NA
## 26 sample wet 1.000000 NA
## 27 sample wet 1.000000 NA
## 28 sample <NA> 1.000000 NA
## 29 sample wet 1.000000 NA
## 30 sample <NA> 1.000000 NA
## 31 sample <NA> 1.000000 NA
## 32 sample <NA> 1.000000 NA
## 33 sample <NA> 1.000000 NA
## 34 sample <NA> 1.000000 NA
## 35 sample <NA> 1.000000 NA
## 36 sample <NA> 1.000000 NA
## 37 sample <NA> 1.000000 NA
## 38 sample <NA> 1.000000 NA
## 39 sample <NA> 1.000000 NA
## 40 sample <NA> 1.000000 NA
## 41 sample <NA> 1.000000 NA
## 42 sample <NA> 1.000000 NA
## 43 sample <NA> 1.000000 NA
## 44 sample <NA> 1.000000 NA
## 45 sample <NA> 1.000000 NA
## 46 sample <NA> 1.000000 NA
## 47 sample <NA> 1.000000 NA
## 48 sample <NA> 1.000000 NA
## 49 sample <NA> 1.000000 NA
## 50 sample <NA> 1.000000 NA
## 51 sample <NA> 1.000000 NA
## 52 sample <NA> 1.000000 NA
## 53 sample <NA> 1.000000 NA
## 54 sample <NA> 1.000000 NA
## 55 sample <NA> 1.000000 NA
## 56 sample <NA> 1.000000 NA
## 57 sample <NA> 1.000000 NA
## 58 sample <NA> 1.000000 NA
## 59 sample <NA> 1.000000 NA
## 60 sample <NA> 1.000000 NA
## 61 sample <NA> 1.000000 NA
## 62 sample <NA> 1.000000 NA
## 63 sample <NA> 1.000000 NA
## 64 sample <NA> 1.000000 NA
## 65 sample <NA> 1.000000 NA
## 66 sample <NA> 1.000000 NA
## 67 sample <NA> 1.000000 NA
## 68 sample <NA> 1.000000 NA
## 69 sample <NA> 1.000000 NA
## 70 sample <NA> 1.000000 NA
## 71 sample <NA> 1.000000 NA
## 72 sample <NA> 1.000000 NA
## 73 sample <NA> 1.000000 NA
## 74 sample <NA> 1.000000 NA
## 75 sample <NA> 1.000000 NA
## 76 sample <NA> 1.000000 NA
## 77 sample <NA> 1.000000 NA
## 78 sample <NA> 1.000000 NA
## 79 sample <NA> 1.000000 NA
## 80 sample <NA> 1.000000 NA
## 81 sample <NA> 1.000000 NA
## 82 sample <NA> 1.000000 NA
## 83 sample <NA> 1.000000 NA
## 84 sample <NA> 1.000000 NA
## 85 sample <NA> 1.000000 NA
## 86 sample <NA> 1.000000 NA
## 87 sample <NA> 1.000000 NA
## 88 sample <NA> 1.000000 NA
## 89 sample <NA> 1.000000 NA
## 90 sample <NA> 1.000000 NA
## 91 sample <NA> 1.000000 NA
## 92 sample <NA> 1.000000 NA
## 93 sample <NA> 1.000000 NA
## 94 sample <NA> 1.000000 NA
## 95 sample <NA> 1.000000 NA
## 96 sample <NA> 1.000000 NA
## 97 sample <NA> 1.000000 NA
## 98 sample <NA> 1.000000 NA
## 99 sample <NA> 1.000000 NA
## 100 sample <NA> 1.000000 NA
## 101 sample <NA> 1.000000 NA
## 102 sample <NA> 1.000000 NA
## 103 sample <NA> 1.000000 NA
## 104 sample <NA> 1.000000 NA
## 105 sample <NA> 1.000000 NA
## 106 sample <NA> 1.000000 NA
## 107 sample <NA> 1.000000 NA
## 108 sample <NA> 1.000000 NA
## 109 sample <NA> 1.000000 NA
## 110 sample <NA> 1.000000 NA
## 111 sample <NA> 1.000000 NA
## 112 sample <NA> 1.000000 NA
## 113 sample <NA> 1.000000 NA
## 114 sample <NA> 1.000000 NA
## 115 sample <NA> 1.000000 NA
## 116 sample <NA> 1.000000 NA
## 117 sample <NA> 1.000000 NA
## 118 sample <NA> 1.000000 NA
## 119 sample <NA> 1.000000 NA
## 120 sample <NA> 1.000000 NA
## 121 sample <NA> 1.000000 NA
## 122 sample <NA> 1.000000 NA
## 123 sample <NA> 1.000000 NA
## 124 sample <NA> 1.000000 NA
## 125 sample <NA> 1.000000 NA
## 126 sample <NA> 1.000000 NA
## 127 sample <NA> 1.000000 NA
## 128 sample <NA> 1.000000 NA
## 129 sample <NA> 1.000000 NA
## 130 sample <NA> 1.000000 NA
## 131 sample <NA> 1.000000 NA
## 132 sample <NA> 1.000000 NA
## 133 sample <NA> 1.000000 NA
## 134 sample <NA> 1.000000 NA
## 135 sample <NA> 1.000000 NA
## 136 sample <NA> 1.000000 NA
## 137 sample <NA> 1.000000 NA
## 138 sample <NA> 1.000000 NA
## 139 sample <NA> 1.000000 NA
## 140 sample <NA> 1.000000 NA
## 141 sample <NA> 1.000000 NA
## 142 sample <NA> 1.000000 NA
## 143 sample <NA> 1.000000 NA
## 144 sample <NA> 1.000000 NA
## 145 sample <NA> 1.000000 NA
## 146 sample <NA> 1.000000 NA
## 147 sample <NA> 1.000000 NA
## 148 sample <NA> 1.000000 NA
## 149 sample <NA> 1.000000 NA
## 150 sample <NA> 1.000000 NA
## 151 sample <NA> 1.000000 NA
## 152 sample <NA> 1.000000 NA
## 153 sample <NA> 1.000000 NA
## 154 sample <NA> 1.000000 NA
## 155 sample <NA> 1.000000 NA
## 156 sample <NA> 1.000000 NA
## 157 sample <NA> 1.000000 NA
## 158 sample <NA> 1.000000 NA
## 159 sample <NA> 1.000000 NA
## 160 sample <NA> 1.000000 NA
## 161 sample <NA> 1.000000 NA
## 162 sample <NA> 1.000000 NA
## 163 sample <NA> 1.000000 NA
## 164 sample <NA> 1.000000 NA
## 165 sample <NA> 1.000000 NA
## 166 sample <NA> 1.000000 NA
## 167 sample <NA> 1.000000 NA
## 168 sample <NA> 1.000000 NA
## 169 sample <NA> 1.000000 NA
## 170 sample <NA> 1.000000 NA
## 171 sample <NA> 1.000000 NA
## 172 sample <NA> 1.000000 NA
## 173 sample <NA> 1.000000 NA
## 174 sample <NA> 1.000000 NA
## 175 sample <NA> 1.000000 NA
## 176 sample <NA> 1.000000 NA
## 177 sample <NA> 1.000000 NA
## 178 sample <NA> 1.000000 NA
## 179 sample <NA> 1.000000 NA
## 180 sample <NA> 1.000000 NA
## 181 sample <NA> 1.000000 NA
## 182 sample <NA> 1.000000 NA
## 183 sample <NA> 1.000000 NA
## 184 sample <NA> 1.000000 NA
## 185 sample <NA> 1.000000 NA
## 186 sample <NA> 1.000000 NA
## 187 sample <NA> 1.000000 NA
## 188 sample <NA> 1.000000 NA
## 189 sample <NA> 1.000000 NA
## 190 sample <NA> 1.000000 NA
## 191 sample <NA> 1.000000 NA
## 192 sample <NA> 1.000000 NA
## 193 sample <NA> 1.000000 NA
## 194 sample <NA> 1.000000 NA
## 195 sample <NA> 1.000000 NA
## 196 sample <NA> 1.000000 NA
## 197 sample <NA> 1.000000 NA
## 198 sample <NA> 1.000000 NA
## 199 sample <NA> 1.000000 NA
## 200 sample <NA> 1.000000 NA
## 201 sample <NA> 1.000000 NA
## 202 sample dry 4.598399 1.393976
## 203 sample wet 4.598399 1.393976
## 204 sample dry 4.598399 1.393976
## 205 sample wet 4.598399 1.393976
## 206 sample wet 4.598399 1.393976
## 207 sample dry 4.598399 1.393976
## 208 sample wet 4.598399 1.393976
## 209 sample dry 4.598399 1.393976
## 210 sample wet 4.598399 1.393976
## 211 sample dry 4.598399 1.393976
## 212 sample wet 4.598399 1.393976
## 213 sample dry 4.598399 1.393976
## 214 sample wet 4.598399 1.393976
## 215 sample wet 4.598399 1.393976
## 216 sample dry 4.598399 1.393976
## 217 sample wet 4.598399 1.393976
## 218 sample dry 4.598399 1.393976
## 219 sample dry 4.598399 1.393976
## 220 sample wet 4.598399 1.393976
## 221 sample wet 4.598399 1.393976
## 222 sample dry 4.598399 1.393976
## 223 sample wet 4.598399 1.393976
## 224 sample dry 4.598399 1.393976
## 225 sample wet 4.598399 1.393976
## 226 sample dry 4.598399 1.393976
## 227 sample wet 4.598399 1.393976
## 228 sample dry 4.598399 1.393976
## 229 sample dry 4.598399 1.393976
## 230 sample wet 4.598399 1.393976
## 231 sample dry 4.598399 1.393976
## 232 sample wet 4.598399 1.393976
## 233 sample dry 4.598399 1.393976
## 234 sample wet 4.598399 1.393976
## 235 sample wet 4.598399 1.393976
## 236 sample wet 4.598399 1.393976
## 237 sample wet 4.598399 1.393976
## 238 sample dry 4.598399 1.393976
## 239 sample wet 4.598399 1.393976
## 240 sample dry 4.598399 1.393976
## 241 sample wet 4.598399 1.393976
## 242 sample dry 4.598399 1.393976
## 243 sample wet 4.598399 1.393976
## 244 sample dry 4.598399 1.393976
## 245 sample dry 4.598399 1.393976
## 246 sample wet 4.598399 1.393976
## 247 sample dry 4.598399 1.393976
## 248 sample wet 4.598399 1.393976
## 249 sample dry 4.598399 1.393976
## 250 sample wet 4.598399 1.393976
## 251 sample dry 4.598399 1.393976
## 252 sample wet 4.598399 1.393976
## 253 sample dry 4.598399 1.393976
## 254 sample dry 4.598399 1.393976
## 255 sample dry 4.598399 1.393976
## 256 sample dry 4.598399 1.393976
## 257 sample wet 4.598399 1.393976
## 258 sample wet 4.598399 1.393976
## 259 sample dry 4.598399 1.393976
## 260 sample dry 4.598399 1.393976
## 261 sample wet 4.598399 1.393976
## 262 sample wet 4.598399 1.393976
## 263 sample dry 4.598399 1.393976
## 264 sample dry 4.598399 1.393976
## 265 sample wet 4.598399 1.393976
## 266 sample wet 4.598399 1.393976
## 267 sample dry 1.000000 NA
## 268 sample wet 1.000000 NA
## 269 sample dry 1.000000 NA
## 270 sample wet 1.000000 NA
## 271 sample dry 1.000000 NA
## 272 sample wet 1.000000 NA
## 273 sample dry 1.000000 NA
## 274 sample wet 1.000000 NA
## 275 sample dry 1.000000 NA
## 276 sample wet 1.000000 NA
## 277 sample dry 1.000000 NA
## 278 sample wet 1.000000 NA
## 279 sample dry 1.000000 NA
## 280 sample dry 1.000000 NA
## 281 sample dry 1.000000 NA
## 282 sample wet 1.000000 NA
## 283 sample wet 1.000000 NA
## 284 sample dry 1.000000 NA
## 285 sample dry 1.000000 NA
## 286 sample dry 1.000000 NA
## 287 sample dry 1.000000 NA
## 288 sample wet 1.000000 NA
## 289 sample wet 1.000000 NA
## 290 sample dry 1.000000 NA
## 291 sample wet 1.000000 NA
## 292 sample wet 1.000000 NA
## 293 sample wet 1.000000 NA
## 294 sample wet 1.000000 NA
## 295 sample wet 1.000000 NA
## 296 sample dry 1.000000 NA
## 297 sample wet 1.000000 NA
## 298 sample dry 1.000000 NA
## 299 sample wet 1.000000 NA
## 300 sample dry 1.000000 NA
## 301 sample wet 1.000000 NA
## 302 sample dry 1.000000 NA
## 303 sample dry 1.000000 NA
## 304 sample wet 1.000000 NA
## 305 sample dry 1.000000 NA
## 306 sample wet 1.000000 NA
## 307 sample wet 1.000000 NA
## 308 sample dry 1.000000 NA
## 309 sample wet 1.000000 NA
## 310 sample dry 1.000000 NA
## 311 sample wet 1.000000 NA
## 312 sample dry 1.000000 NA
## 313 sample wet 1.000000 NA
## 314 sample dry 1.000000 NA
## 315 sample wet 1.000000 NA
## fiber.correction.factor.n particles.L.blank.corrected.fiber.corrected
## 1 NA 1.630000e+00
## 2 NA 1.650000e+00
## 3 NA 7.200000e+00
## 4 NA 5.630000e+00
## 5 NA 4.940000e+00
## 6 NA 8.430000e+00
## 7 NA 1.006000e+01
## 8 NA 2.310000e+00
## 9 NA 1.090000e+00
## 10 NA 1.784000e+01
## 11 NA 1.236000e+01
## 12 NA 2.441000e+01
## 13 NA 6.450000e-02
## 14 NA 1.150000e-02
## 15 NA 1.778000e-01
## 16 NA 4.210000e-02
## 17 NA 3.000000e-03
## 18 NA 5.400000e-03
## 19 NA 1.860000e-02
## 20 NA 2.330000e-02
## 21 NA 2.220000e-02
## 22 NA 7.780000e-02
## 23 NA 3.700000e-03
## 24 NA 5.500000e-03
## 25 NA 1.083000e-01
## 26 NA 1.593000e-01
## 27 NA 1.816000e-01
## 28 NA 7.500000e-03
## 29 NA 6.830000e-02
## 30 NA NA
## 31 NA NA
## 32 NA NA
## 33 NA NA
## 34 NA NA
## 35 NA NA
## 36 NA NA
## 37 NA NA
## 38 NA NA
## 39 NA NA
## 40 NA NA
## 41 NA NA
## 42 NA NA
## 43 NA NA
## 44 NA NA
## 45 NA NA
## 46 NA NA
## 47 NA NA
## 48 NA NA
## 49 NA NA
## 50 NA NA
## 51 NA NA
## 52 NA NA
## 53 NA NA
## 54 NA NA
## 55 NA NA
## 56 NA NA
## 57 NA NA
## 58 NA NA
## 59 NA NA
## 60 NA NA
## 61 NA NA
## 62 NA NA
## 63 NA NA
## 64 NA NA
## 65 NA NA
## 66 NA NA
## 67 NA NA
## 68 NA NA
## 69 NA NA
## 70 NA NA
## 71 NA NA
## 72 NA NA
## 73 NA NA
## 74 NA NA
## 75 NA NA
## 76 NA NA
## 77 NA NA
## 78 NA NA
## 79 NA NA
## 80 NA NA
## 81 NA NA
## 82 NA NA
## 83 NA NA
## 84 NA NA
## 85 NA NA
## 86 NA NA
## 87 NA NA
## 88 NA NA
## 89 NA NA
## 90 NA NA
## 91 NA NA
## 92 NA NA
## 93 NA NA
## 94 NA NA
## 95 NA NA
## 96 NA NA
## 97 NA NA
## 98 NA NA
## 99 NA NA
## 100 NA NA
## 101 NA NA
## 102 NA NA
## 103 NA NA
## 104 NA NA
## 105 NA NA
## 106 NA NA
## 107 NA NA
## 108 NA NA
## 109 NA NA
## 110 NA NA
## 111 NA NA
## 112 NA NA
## 113 NA NA
## 114 NA NA
## 115 NA NA
## 116 NA NA
## 117 NA NA
## 118 NA NA
## 119 NA NA
## 120 NA NA
## 121 NA NA
## 122 NA NA
## 123 NA NA
## 124 NA NA
## 125 NA NA
## 126 NA NA
## 127 NA NA
## 128 NA NA
## 129 NA NA
## 130 NA NA
## 131 NA NA
## 132 NA NA
## 133 NA NA
## 134 NA NA
## 135 NA NA
## 136 NA NA
## 137 NA NA
## 138 NA NA
## 139 NA NA
## 140 NA NA
## 141 NA NA
## 142 NA NA
## 143 NA NA
## 144 NA NA
## 145 NA NA
## 146 NA NA
## 147 NA NA
## 148 NA NA
## 149 NA NA
## 150 NA NA
## 151 NA NA
## 152 NA NA
## 153 NA NA
## 154 NA NA
## 155 NA NA
## 156 NA NA
## 157 NA NA
## 158 NA NA
## 159 NA NA
## 160 NA NA
## 161 NA NA
## 162 NA NA
## 163 NA NA
## 164 NA NA
## 165 NA NA
## 166 NA NA
## 167 NA NA
## 168 NA NA
## 169 NA NA
## 170 NA NA
## 171 NA NA
## 172 NA NA
## 173 NA NA
## 174 NA NA
## 175 NA NA
## 176 NA NA
## 177 NA NA
## 178 NA NA
## 179 NA NA
## 180 NA NA
## 181 NA NA
## 182 NA NA
## 183 NA NA
## 184 NA NA
## 185 NA NA
## 186 NA NA
## 187 NA NA
## 188 NA NA
## 189 NA NA
## 190 NA NA
## 191 NA NA
## 192 NA NA
## 193 NA NA
## 194 NA NA
## 195 NA NA
## 196 NA NA
## 197 NA NA
## 198 NA NA
## 199 NA NA
## 200 NA NA
## 201 NA NA
## 202 9 1.057632e-04
## 203 9 2.811461e-02
## 204 9 2.018697e-03
## 205 9 8.681777e-03
## 206 9 2.349782e-03
## 207 9 3.816671e-04
## 208 9 2.133657e-03
## 209 9 3.559161e-03
## 210 9 3.352233e-03
## 211 9 1.041537e-02
## 212 9 1.997085e-02
## 213 9 8.644990e-04
## 214 9 2.556296e-01
## 215 9 4.046591e-04
## 216 9 7.495391e-04
## 217 9 5.793983e-04
## 218 9 6.391775e-04
## 219 9 0.000000e+00
## 220 9 1.057632e-04
## 221 9 1.002451e-03
## 222 9 9.196798e-05
## 223 9 3.632735e-04
## 224 9 6.391775e-04
## 225 9 3.586751e-04
## 226 9 2.299200e-05
## 227 9 4.414463e-04
## 228 9 2.575103e-04
## 229 9 4.515628e-03
## 230 9 1.223174e-03
## 231 9 1.641628e-03
## 232 9 1.140403e-03
## 233 9 7.035551e-04
## 234 9 2.372774e-03
## 235 9 1.820966e-03
## 236 9 1.351929e-03
## 237 9 1.255363e-03
## 238 9 8.736958e-05
## 239 9 1.747392e-04
## 240 9 3.126911e-04
## 241 9 2.483136e-04
## 242 9 1.747392e-04
## 243 9 3.126911e-04
## 244 9 1.103616e-04
## 245 9 5.150207e-04
## 246 9 1.085222e-03
## 247 9 8.323102e-04
## 248 9 1.197883e-02
## 249 9 5.885951e-04
## 250 9 2.244019e-03
## 251 9 1.333076e-02
## 252 9 6.364184e-03
## 253 9 1.958918e-03
## 254 9 1.958918e-03
## 255 9 2.713055e-04
## 256 9 2.713055e-04
## 257 9 4.230527e-04
## 258 9 4.230527e-04
## 259 9 2.929180e-03
## 260 9 2.929180e-03
## 261 9 6.479144e-03
## 262 9 6.479144e-03
## 263 9 3.724703e-04
## 264 9 3.724703e-04
## 265 9 6.023903e-04
## 266 9 6.023903e-04
## 267 NA 3.465347e+00
## 268 NA 2.734878e+00
## 269 NA 7.433102e+00
## 270 NA 6.277464e-01
## 271 NA 1.950959e+00
## 272 NA 4.984424e+00
## 273 NA 2.325107e+00
## 274 NA 1.582779e+00
## 275 NA 2.703562e+00
## 276 NA 2.551020e+00
## 277 NA 6.578947e+00
## 278 NA 1.871102e+01
## 279 NA 3.000000e+00
## 280 NA 1.640420e+00
## 281 NA 8.671523e+00
## 282 NA 6.523157e-01
## 283 NA 0.000000e+00
## 284 NA 1.811594e+00
## 285 NA 7.095745e-01
## 286 NA 1.262626e+00
## 287 NA 3.664755e+00
## 288 NA 3.098500e+00
## 289 NA 1.279591e+00
## 290 NA 7.619048e+00
## 291 NA 2.412281e+00
## 292 NA 1.357323e+01
## 293 NA 2.383222e+00
## 294 NA 9.433962e-01
## 295 NA 3.570315e+01
## 296 NA 2.252599e+00
## 297 NA 2.202268e+00
## 298 NA 1.605652e+00
## 299 NA 4.269450e+00
## 300 NA 3.502069e+00
## 301 NA 1.876590e+01
## 302 NA 6.298450e+00
## 303 NA 9.980040e-01
## 304 NA 6.144393e+00
## 305 NA 3.346080e+00
## 306 NA 1.595745e+00
## 307 NA 2.666667e+00
## 308 NA 4.338395e+00
## 309 NA 9.931383e+00
## 310 NA 3.333333e+00
## 311 NA 2.833333e+00
## 312 NA 5.086072e+00
## 313 NA 5.243089e+00
## 314 NA 2.764613e+00
## 315 NA 4.427577e+00
## locationNew matrix
## 1 general Storm
## 2 general Storm
## 3 general Storm
## 4 general Storm
## 5 general Storm
## 6 general Storm
## 7 general Storm
## 8 general Storm
## 9 general Storm
## 10 general Storm
## 11 general Storm
## 12 general Storm
## 13 general WWTP
## 14 general WWTP
## 15 general WWTP
## 16 general WWTP
## 17 general WWTP
## 18 general WWTP
## 19 general WWTP
## 20 general WWTP
## 21 general WWTP
## 22 general WWTP
## 23 general WWTP
## 24 general WWTP
## 25 general WWTP
## 26 general WWTP
## 27 general WWTP
## 28 general WWTP
## 29 general WWTP
## 30 Lower South Bay Fish
## 31 Lower South Bay Fish
## 32 Lower South Bay Fish
## 33 Lower South Bay Fish
## 34 Lower South Bay Fish
## 35 Lower South Bay Fish
## 36 Lower South Bay Fish
## 37 Lower South Bay Fish
## 38 Lower South Bay Fish
## 39 Lower South Bay Fish
## 40 Lower South Bay Fish
## 41 Lower South Bay Fish
## 42 Lower South Bay Fish
## 43 Lower South Bay Fish
## 44 Tomales Bay Fish
## 45 Tomales Bay Fish
## 46 Tomales Bay Fish
## 47 Tomales Bay Fish
## 48 Tomales Bay Fish
## 49 Tomales Bay Fish
## 50 Tomales Bay Fish
## 51 Tomales Bay Fish
## 52 Tomales Bay Fish
## 53 Tomales Bay Fish
## 54 Tomales Bay Fish
## 55 Tomales Bay Fish
## 56 Tomales Bay Fish
## 57 Tomales Bay Fish
## 58 Tomales Bay Fish
## 59 Tomales Bay Fish
## 60 Tomales Bay Fish
## 61 Tomales Bay Fish
## 62 Tomales Bay Fish
## 63 Tomales Bay Fish
## 64 Tomales Bay Fish
## 65 Tomales Bay Fish
## 66 Tomales Bay Fish
## 67 Tomales Bay Fish
## 68 Tomales Bay Fish
## 69 Tomales Bay Fish
## 70 Tomales Bay Fish
## 71 Tomales Bay Fish
## 72 Tomales Bay Fish
## 73 Tomales Bay Fish
## 74 Central Bay Fish
## 75 Central Bay Fish
## 76 Central Bay Fish
## 77 Central Bay Fish
## 78 Central Bay Fish
## 79 Central Bay Fish
## 80 Central Bay Fish
## 81 Central Bay Fish
## 82 Central Bay Fish
## 83 Central Bay Fish
## 84 Central Bay Fish
## 85 Central Bay Fish
## 86 Central Bay Fish
## 87 Central Bay Fish
## 88 Central Bay Fish
## 89 Central Bay Fish
## 90 Central Bay Fish
## 91 Central Bay Fish
## 92 Central Bay Fish
## 93 Central Bay Fish
## 94 Central Bay Fish
## 95 Central Bay Fish
## 96 Central Bay Fish
## 97 Central Bay Fish
## 98 Central Bay Fish
## 99 Central Bay Fish
## 100 Central Bay Fish
## 101 Central Bay Fish
## 102 Central Bay Fish
## 103 Central Bay Fish
## 104 Central Bay Fish
## 105 Central Bay Fish
## 106 Central Bay Fish
## 107 Central Bay Fish
## 108 Central Bay Fish
## 109 Central Bay Fish
## 110 Central Bay Fish
## 111 Central Bay Fish
## 112 general Fish
## 113 general Fish
## 114 general Fish
## 115 general Fish
## 116 general Fish
## 117 general Fish
## 118 general Fish
## 119 general Fish
## 120 general Fish
## 121 general Fish
## 122 South Bay Fish
## 123 South Bay Fish
## 124 South Bay Fish
## 125 South Bay Fish
## 126 South Bay Fish
## 127 South Bay Fish
## 128 South Bay Fish
## 129 South Bay Fish
## 130 South Bay Fish
## 131 South Bay Fish
## 132 South Bay Fish
## 133 South Bay Fish
## 134 South Bay Fish
## 135 South Bay Fish
## 136 South Bay Fish
## 137 South Bay Fish
## 138 South Bay Fish
## 139 South Bay Fish
## 140 South Bay Fish
## 141 South Bay Fish
## 142 Central Bay Fish
## 143 Central Bay Fish
## 144 Central Bay Fish
## 145 Central Bay Fish
## 146 Central Bay Fish
## 147 Central Bay Fish
## 148 Central Bay Fish
## 149 Central Bay Fish
## 150 Central Bay Fish
## 151 Central Bay Fish
## 152 Central Bay Fish
## 153 Central Bay Fish
## 154 Central Bay Fish
## 155 Central Bay Fish
## 156 Central Bay Fish
## 157 Central Bay Fish
## 158 Central Bay Fish
## 159 Central Bay Fish
## 160 Central Bay Fish
## 161 Central Bay Fish
## 162 general Fish
## 163 general Fish
## 164 general Fish
## 165 general Fish
## 166 general Fish
## 167 general Fish
## 168 general Fish
## 169 general Fish
## 170 general Fish
## 171 general Fish
## 172 Tomales Bay Fish
## 173 Tomales Bay Fish
## 174 Tomales Bay Fish
## 175 Tomales Bay Fish
## 176 Tomales Bay Fish
## 177 Tomales Bay Fish
## 178 Tomales Bay Fish
## 179 Tomales Bay Fish
## 180 Tomales Bay Fish
## 181 Tomales Bay Fish
## 182 general Sediment
## 183 Central Bay Sediment
## 184 Central Bay Sediment
## 185 Central Bay Sediment
## 186 Central Bay Sediment
## 187 Lower South Bay Sediment
## 188 Lower South Bay Sediment
## 189 Lower South Bay Sediment
## 190 general Sediment
## 191 South Bay Sediment
## 192 South Bay Sediment
## 193 South Bay Sediment
## 194 general Sediment
## 195 general Sediment
## 196 general Sediment
## 197 general Sediment
## 198 general Sediment
## 199 general Sediment
## 200 Tomales Bay Sediment
## 201 Tomales Bay Sediment
## 202 Central Bay Surface (Manta Trawl)
## 203 Central Bay Surface (Manta Trawl)
## 204 Central Bay Surface (Manta Trawl)
## 205 Central Bay Surface (Manta Trawl)
## 206 Central Bay Surface (Manta Trawl)
## 207 Central Bay Surface (Manta Trawl)
## 208 Central Bay Surface (Manta Trawl)
## 209 Central Bay Surface (Manta Trawl)
## 210 Central Bay Surface (Manta Trawl)
## 211 Central Bay Surface (Manta Trawl)
## 212 Central Bay Surface (Manta Trawl)
## 213 Central Bay Surface (Manta Trawl)
## 214 Central Bay Surface (Manta Trawl)
## 215 National Marine Sanctuary Surface (Manta Trawl)
## 216 National Marine Sanctuary Surface (Manta Trawl)
## 217 National Marine Sanctuary Surface (Manta Trawl)
## 218 National Marine Sanctuary Surface (Manta Trawl)
## 219 National Marine Sanctuary Surface (Manta Trawl)
## 220 National Marine Sanctuary Surface (Manta Trawl)
## 221 National Marine Sanctuary Surface (Manta Trawl)
## 222 National Marine Sanctuary Surface (Manta Trawl)
## 223 National Marine Sanctuary Surface (Manta Trawl)
## 224 National Marine Sanctuary Surface (Manta Trawl)
## 225 National Marine Sanctuary Surface (Manta Trawl)
## 226 National Marine Sanctuary Surface (Manta Trawl)
## 227 National Marine Sanctuary Surface (Manta Trawl)
## 228 National Marine Sanctuary Surface (Manta Trawl)
## 229 Lower South Bay Surface (Manta Trawl)
## 230 Lower South Bay Surface (Manta Trawl)
## 231 Lower South Bay Surface (Manta Trawl)
## 232 Lower South Bay Surface (Manta Trawl)
## 233 Lower South Bay Surface (Manta Trawl)
## 234 Lower South Bay Surface (Manta Trawl)
## 235 National Marine Sanctuary Surface (Manta Trawl)
## 236 National Marine Sanctuary Surface (Manta Trawl)
## 237 National Marine Sanctuary Surface (Manta Trawl)
## 238 National Marine Sanctuary Surface (Manta Trawl)
## 239 National Marine Sanctuary Surface (Manta Trawl)
## 240 National Marine Sanctuary Surface (Manta Trawl)
## 241 National Marine Sanctuary Surface (Manta Trawl)
## 242 National Marine Sanctuary Surface (Manta Trawl)
## 243 National Marine Sanctuary Surface (Manta Trawl)
## 244 National Marine Sanctuary Surface (Manta Trawl)
## 245 South Bay Surface (Manta Trawl)
## 246 South Bay Surface (Manta Trawl)
## 247 South Bay Surface (Manta Trawl)
## 248 South Bay Surface (Manta Trawl)
## 249 South Bay Surface (Manta Trawl)
## 250 South Bay Surface (Manta Trawl)
## 251 South Bay Surface (Manta Trawl)
## 252 South Bay Surface (Manta Trawl)
## 253 general Surface (Manta Trawl)
## 254 general Surface (Manta Trawl)
## 255 general Surface (Manta Trawl)
## 256 general Surface (Manta Trawl)
## 257 general Surface (Manta Trawl)
## 258 general Surface (Manta Trawl)
## 259 general Surface (Manta Trawl)
## 260 general Surface (Manta Trawl)
## 261 general Surface (Manta Trawl)
## 262 general Surface (Manta Trawl)
## 263 general Surface (Manta Trawl)
## 264 general Surface (Manta Trawl)
## 265 general Surface (Manta Trawl)
## 266 general Surface (Manta Trawl)
## 267 Central Bay Surface (1L-grab)
## 268 Central Bay Surface (1L-grab)
## 269 Central Bay Surface (1L-grab)
## 270 Central Bay Surface (1L-grab)
## 271 Central Bay Surface (1L-grab)
## 272 Central Bay Surface (1L-grab)
## 273 Central Bay Surface (1L-grab)
## 274 Central Bay Surface (1L-grab)
## 275 Central Bay Surface (1L-grab)
## 276 Central Bay Surface (1L-grab)
## 277 Central Bay Surface (1L-grab)
## 278 Central Bay Surface (1L-grab)
## 279 National Marine Sanctuary Surface (1L-grab)
## 280 National Marine Sanctuary Surface (1L-grab)
## 281 National Marine Sanctuary Surface (1L-grab)
## 282 National Marine Sanctuary Surface (1L-grab)
## 283 National Marine Sanctuary Surface (1L-grab)
## 284 National Marine Sanctuary Surface (1L-grab)
## 285 National Marine Sanctuary Surface (1L-grab)
## 286 National Marine Sanctuary Surface (1L-grab)
## 287 National Marine Sanctuary Surface (1L-grab)
## 288 Lower South Bay Surface (1L-grab)
## 289 Lower South Bay Surface (1L-grab)
## 290 Lower South Bay Surface (1L-grab)
## 291 Lower South Bay Surface (1L-grab)
## 292 National Marine Sanctuary Surface (1L-grab)
## 293 National Marine Sanctuary Surface (1L-grab)
## 294 National Marine Sanctuary Surface (1L-grab)
## 295 National Marine Sanctuary Surface (1L-grab)
## 296 National Marine Sanctuary Surface (1L-grab)
## 297 National Marine Sanctuary Surface (1L-grab)
## 298 National Marine Sanctuary Surface (1L-grab)
## 299 National Marine Sanctuary Surface (1L-grab)
## 300 National Marine Sanctuary Surface (1L-grab)
## 301 National Marine Sanctuary Surface (1L-grab)
## 302 National Marine Sanctuary Surface (1L-grab)
## 303 South Bay Surface (1L-grab)
## 304 South Bay Surface (1L-grab)
## 305 South Bay Surface (1L-grab)
## 306 South Bay Surface (1L-grab)
## 307 South Bay Surface (1L-grab)
## 308 South Bay Surface (1L-grab)
## 309 South Bay Surface (1L-grab)
## 310 general Surface (1L-grab)
## 311 general Surface (1L-grab)
## 312 general Surface (1L-grab)
## 313 general Surface (1L-grab)
## 314 general Surface (1L-grab)
## 315 general Surface (1L-grab)
## locationMatrix proportion
## 1 general Storm 0.4675000
## 2 general Storm 0.4675000
## 3 general Storm 0.4675000
## 4 general Storm 0.4675000
## 5 general Storm 0.4675000
## 6 general Storm 0.4675000
## 7 general Storm 0.4675000
## 8 general Storm 0.4675000
## 9 general Storm 0.4675000
## 10 general Storm 0.4675000
## 11 general Storm 0.4675000
## 12 general Storm 0.4675000
## 13 general WWTP 0.2833333
## 14 general WWTP 0.2833333
## 15 general WWTP 0.2833333
## 16 general WWTP 0.2833333
## 17 general WWTP 0.2833333
## 18 general WWTP 0.2833333
## 19 general WWTP 0.2833333
## 20 general WWTP 0.2833333
## 21 general WWTP 0.2833333
## 22 general WWTP 0.2833333
## 23 general WWTP 0.2833333
## 24 general WWTP 0.2833333
## 25 general WWTP 0.2833333
## 26 general WWTP 0.2833333
## 27 general WWTP 0.2833333
## 28 general WWTP 0.2833333
## 29 general WWTP 0.2833333
## 30 Lower South Bay Fish 0.1500000
## 31 Lower South Bay Fish 0.1500000
## 32 Lower South Bay Fish 0.1500000
## 33 Lower South Bay Fish 0.1500000
## 34 Lower South Bay Fish 0.1500000
## 35 Lower South Bay Fish 0.1500000
## 36 Lower South Bay Fish 0.1500000
## 37 Lower South Bay Fish 0.1500000
## 38 Lower South Bay Fish 0.1500000
## 39 Lower South Bay Fish 0.1500000
## 40 Lower South Bay Fish 0.1500000
## 41 Lower South Bay Fish 0.1500000
## 42 Lower South Bay Fish 0.1500000
## 43 Lower South Bay Fish 0.1500000
## 44 Tomales Bay Fish 0.1300000
## 45 Tomales Bay Fish 0.1300000
## 46 Tomales Bay Fish 0.1300000
## 47 Tomales Bay Fish 0.1300000
## 48 Tomales Bay Fish 0.1300000
## 49 Tomales Bay Fish 0.1300000
## 50 Tomales Bay Fish 0.1300000
## 51 Tomales Bay Fish 0.1300000
## 52 Tomales Bay Fish 0.1300000
## 53 Tomales Bay Fish 0.1300000
## 54 Tomales Bay Fish 0.1300000
## 55 Tomales Bay Fish 0.1300000
## 56 Tomales Bay Fish 0.1300000
## 57 Tomales Bay Fish 0.1300000
## 58 Tomales Bay Fish 0.1300000
## 59 Tomales Bay Fish 0.1300000
## 60 Tomales Bay Fish 0.1300000
## 61 Tomales Bay Fish 0.1300000
## 62 Tomales Bay Fish 0.1300000
## 63 Tomales Bay Fish 0.1300000
## 64 Tomales Bay Fish 0.1300000
## 65 Tomales Bay Fish 0.1300000
## 66 Tomales Bay Fish 0.1300000
## 67 Tomales Bay Fish 0.1300000
## 68 Tomales Bay Fish 0.1300000
## 69 Tomales Bay Fish 0.1300000
## 70 Tomales Bay Fish 0.1300000
## 71 Tomales Bay Fish 0.1300000
## 72 Tomales Bay Fish 0.1300000
## 73 Tomales Bay Fish 0.1300000
## 74 Central Bay Fish 0.2100000
## 75 Central Bay Fish 0.2100000
## 76 Central Bay Fish 0.2100000
## 77 Central Bay Fish 0.2100000
## 78 Central Bay Fish 0.2100000
## 79 Central Bay Fish 0.2100000
## 80 Central Bay Fish 0.2100000
## 81 Central Bay Fish 0.2100000
## 82 Central Bay Fish 0.2100000
## 83 Central Bay Fish 0.2100000
## 84 Central Bay Fish 0.2100000
## 85 Central Bay Fish 0.2100000
## 86 Central Bay Fish 0.2100000
## 87 Central Bay Fish 0.2100000
## 88 Central Bay Fish 0.2100000
## 89 Central Bay Fish 0.2100000
## 90 Central Bay Fish 0.2100000
## 91 Central Bay Fish 0.2100000
## 92 Central Bay Fish 0.2100000
## 93 Central Bay Fish 0.2100000
## 94 Central Bay Fish 0.2100000
## 95 Central Bay Fish 0.2100000
## 96 Central Bay Fish 0.2100000
## 97 Central Bay Fish 0.2100000
## 98 Central Bay Fish 0.2100000
## 99 Central Bay Fish 0.2100000
## 100 Central Bay Fish 0.2100000
## 101 Central Bay Fish 0.2100000
## 102 Central Bay Fish 0.2100000
## 103 Central Bay Fish 0.2100000
## 104 Central Bay Fish 0.2100000
## 105 Central Bay Fish 0.2100000
## 106 Central Bay Fish 0.2100000
## 107 Central Bay Fish 0.2100000
## 108 Central Bay Fish 0.2100000
## 109 Central Bay Fish 0.2100000
## 110 Central Bay Fish 0.2100000
## 111 Central Bay Fish 0.2100000
## 112 general Fish 0.1775000
## 113 general Fish 0.1775000
## 114 general Fish 0.1775000
## 115 general Fish 0.1775000
## 116 general Fish 0.1775000
## 117 general Fish 0.1775000
## 118 general Fish 0.1775000
## 119 general Fish 0.1775000
## 120 general Fish 0.1775000
## 121 general Fish 0.1775000
## 122 South Bay Fish 0.2200000
## 123 South Bay Fish 0.2200000
## 124 South Bay Fish 0.2200000
## 125 South Bay Fish 0.2200000
## 126 South Bay Fish 0.2200000
## 127 South Bay Fish 0.2200000
## 128 South Bay Fish 0.2200000
## 129 South Bay Fish 0.2200000
## 130 South Bay Fish 0.2200000
## 131 South Bay Fish 0.2200000
## 132 South Bay Fish 0.2200000
## 133 South Bay Fish 0.2200000
## 134 South Bay Fish 0.2200000
## 135 South Bay Fish 0.2200000
## 136 South Bay Fish 0.2200000
## 137 South Bay Fish 0.2200000
## 138 South Bay Fish 0.2200000
## 139 South Bay Fish 0.2200000
## 140 South Bay Fish 0.2200000
## 141 South Bay Fish 0.2200000
## 142 Central Bay Fish 0.2100000
## 143 Central Bay Fish 0.2100000
## 144 Central Bay Fish 0.2100000
## 145 Central Bay Fish 0.2100000
## 146 Central Bay Fish 0.2100000
## 147 Central Bay Fish 0.2100000
## 148 Central Bay Fish 0.2100000
## 149 Central Bay Fish 0.2100000
## 150 Central Bay Fish 0.2100000
## 151 Central Bay Fish 0.2100000
## 152 Central Bay Fish 0.2100000
## 153 Central Bay Fish 0.2100000
## 154 Central Bay Fish 0.2100000
## 155 Central Bay Fish 0.2100000
## 156 Central Bay Fish 0.2100000
## 157 Central Bay Fish 0.2100000
## 158 Central Bay Fish 0.2100000
## 159 Central Bay Fish 0.2100000
## 160 Central Bay Fish 0.2100000
## 161 Central Bay Fish 0.2100000
## 162 general Fish 0.1775000
## 163 general Fish 0.1775000
## 164 general Fish 0.1775000
## 165 general Fish 0.1775000
## 166 general Fish 0.1775000
## 167 general Fish 0.1775000
## 168 general Fish 0.1775000
## 169 general Fish 0.1775000
## 170 general Fish 0.1775000
## 171 general Fish 0.1775000
## 172 Tomales Bay Fish 0.1300000
## 173 Tomales Bay Fish 0.1300000
## 174 Tomales Bay Fish 0.1300000
## 175 Tomales Bay Fish 0.1300000
## 176 Tomales Bay Fish 0.1300000
## 177 Tomales Bay Fish 0.1300000
## 178 Tomales Bay Fish 0.1300000
## 179 Tomales Bay Fish 0.1300000
## 180 Tomales Bay Fish 0.1300000
## 181 Tomales Bay Fish 0.1300000
## 182 general Sediment 0.3800000
## 183 Central Bay Sediment 0.4400000
## 184 Central Bay Sediment 0.4400000
## 185 Central Bay Sediment 0.4400000
## 186 Central Bay Sediment 0.4400000
## 187 Lower South Bay Sediment 0.5000000
## 188 Lower South Bay Sediment 0.5000000
## 189 Lower South Bay Sediment 0.5000000
## 190 general Sediment 0.3800000
## 191 South Bay Sediment 0.3900000
## 192 South Bay Sediment 0.3900000
## 193 South Bay Sediment 0.3900000
## 194 general Sediment 0.3800000
## 195 general Sediment 0.3800000
## 196 general Sediment 0.3800000
## 197 general Sediment 0.3800000
## 198 general Sediment 0.3800000
## 199 general Sediment 0.3800000
## 200 Tomales Bay Sediment 0.1800000
## 201 Tomales Bay Sediment 0.1800000
## 202 Central Bay Surface (Manta Trawl) 0.7321263
## 203 Central Bay Surface (Manta Trawl) 0.7321263
## 204 Central Bay Surface (Manta Trawl) 0.7321263
## 205 Central Bay Surface (Manta Trawl) 0.7321263
## 206 Central Bay Surface (Manta Trawl) 0.7321263
## 207 Central Bay Surface (Manta Trawl) 0.7321263
## 208 Central Bay Surface (Manta Trawl) 0.7321263
## 209 Central Bay Surface (Manta Trawl) 0.7321263
## 210 Central Bay Surface (Manta Trawl) 0.7321263
## 211 Central Bay Surface (Manta Trawl) 0.7321263
## 212 Central Bay Surface (Manta Trawl) 0.7321263
## 213 Central Bay Surface (Manta Trawl) 0.7321263
## 214 Central Bay Surface (Manta Trawl) 0.7321263
## 215 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 216 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 217 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 218 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 219 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 220 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 221 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 222 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 223 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 224 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 225 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 226 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 227 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 228 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 229 Lower South Bay Surface (Manta Trawl) 0.7321263
## 230 Lower South Bay Surface (Manta Trawl) 0.7321263
## 231 Lower South Bay Surface (Manta Trawl) 0.7321263
## 232 Lower South Bay Surface (Manta Trawl) 0.7321263
## 233 Lower South Bay Surface (Manta Trawl) 0.7321263
## 234 Lower South Bay Surface (Manta Trawl) 0.7321263
## 235 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 236 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 237 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 238 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 239 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 240 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 241 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 242 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 243 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 244 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 245 South Bay Surface (Manta Trawl) 0.7321263
## 246 South Bay Surface (Manta Trawl) 0.7321263
## 247 South Bay Surface (Manta Trawl) 0.7321263
## 248 South Bay Surface (Manta Trawl) 0.7321263
## 249 South Bay Surface (Manta Trawl) 0.7321263
## 250 South Bay Surface (Manta Trawl) 0.7321263
## 251 South Bay Surface (Manta Trawl) 0.7321263
## 252 South Bay Surface (Manta Trawl) 0.7321263
## 253 general Surface (Manta Trawl) 0.7321263
## 254 general Surface (Manta Trawl) 0.7321263
## 255 general Surface (Manta Trawl) 0.7321263
## 256 general Surface (Manta Trawl) 0.7321263
## 257 general Surface (Manta Trawl) 0.7321263
## 258 general Surface (Manta Trawl) 0.7321263
## 259 general Surface (Manta Trawl) 0.7321263
## 260 general Surface (Manta Trawl) 0.7321263
## 261 general Surface (Manta Trawl) 0.7321263
## 262 general Surface (Manta Trawl) 0.7321263
## 263 general Surface (Manta Trawl) 0.7321263
## 264 general Surface (Manta Trawl) 0.7321263
## 265 general Surface (Manta Trawl) 0.7321263
## 266 general Surface (Manta Trawl) 0.7321263
## 267 Central Bay Surface (1L-grab) 0.6200000
## 268 Central Bay Surface (1L-grab) 0.6200000
## 269 Central Bay Surface (1L-grab) 0.6200000
## 270 Central Bay Surface (1L-grab) 0.6200000
## 271 Central Bay Surface (1L-grab) 0.6200000
## 272 Central Bay Surface (1L-grab) 0.6200000
## 273 Central Bay Surface (1L-grab) 0.6200000
## 274 Central Bay Surface (1L-grab) 0.6200000
## 275 Central Bay Surface (1L-grab) 0.6200000
## 276 Central Bay Surface (1L-grab) 0.6200000
## 277 Central Bay Surface (1L-grab) 0.6200000
## 278 Central Bay Surface (1L-grab) 0.6200000
## 279 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 280 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 281 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 282 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 283 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 284 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 285 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 286 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 287 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 288 Lower South Bay Surface (1L-grab) 0.7200000
## 289 Lower South Bay Surface (1L-grab) 0.7200000
## 290 Lower South Bay Surface (1L-grab) 0.7200000
## 291 Lower South Bay Surface (1L-grab) 0.7200000
## 292 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 293 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 294 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 295 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 296 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 297 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 298 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 299 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 300 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 301 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 302 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 303 South Bay Surface (1L-grab) 0.4500000
## 304 South Bay Surface (1L-grab) 0.4500000
## 305 South Bay Surface (1L-grab) 0.4500000
## 306 South Bay Surface (1L-grab) 0.4500000
## 307 South Bay Surface (1L-grab) 0.4500000
## 308 South Bay Surface (1L-grab) 0.4500000
## 309 South Bay Surface (1L-grab) 0.4500000
## 310 general Surface (1L-grab) 0.4900000
## 311 general Surface (1L-grab) 0.4900000
## 312 general Surface (1L-grab) 0.4900000
## 313 general Surface (1L-grab) 0.4900000
## 314 general Surface (1L-grab) 0.4900000
## 315 general Surface (1L-grab) 0.4900000
## proportion.upper95 proportion.lower95 proportion.sd proportion.n
## 1 NA NA NA NA
## 2 NA NA NA NA
## 3 NA NA NA NA
## 4 NA NA NA NA
## 5 NA NA NA NA
## 6 NA NA NA NA
## 7 NA NA NA NA
## 8 NA NA NA NA
## 9 NA NA NA NA
## 10 NA NA NA NA
## 11 NA NA NA NA
## 12 NA NA NA NA
## 13 NA NA NA NA
## 14 NA NA NA NA
## 15 NA NA NA NA
## 16 NA NA NA NA
## 17 NA NA NA NA
## 18 NA NA NA NA
## 19 NA NA NA NA
## 20 NA NA NA NA
## 21 NA NA NA NA
## 22 NA NA NA NA
## 23 NA NA NA NA
## 24 NA NA NA NA
## 25 NA NA NA NA
## 26 NA NA NA NA
## 27 NA NA NA NA
## 28 NA NA NA NA
## 29 NA NA NA NA
## 30 NA NA NA NA
## 31 NA NA NA NA
## 32 NA NA NA NA
## 33 NA NA NA NA
## 34 NA NA NA NA
## 35 NA NA NA NA
## 36 NA NA NA NA
## 37 NA NA NA NA
## 38 NA NA NA NA
## 39 NA NA NA NA
## 40 NA NA NA NA
## 41 NA NA NA NA
## 42 NA NA NA NA
## 43 NA NA NA NA
## 44 NA NA NA NA
## 45 NA NA NA NA
## 46 NA NA NA NA
## 47 NA NA NA NA
## 48 NA NA NA NA
## 49 NA NA NA NA
## 50 NA NA NA NA
## 51 NA NA NA NA
## 52 NA NA NA NA
## 53 NA NA NA NA
## 54 NA NA NA NA
## 55 NA NA NA NA
## 56 NA NA NA NA
## 57 NA NA NA NA
## 58 NA NA NA NA
## 59 NA NA NA NA
## 60 NA NA NA NA
## 61 NA NA NA NA
## 62 NA NA NA NA
## 63 NA NA NA NA
## 64 NA NA NA NA
## 65 NA NA NA NA
## 66 NA NA NA NA
## 67 NA NA NA NA
## 68 NA NA NA NA
## 69 NA NA NA NA
## 70 NA NA NA NA
## 71 NA NA NA NA
## 72 NA NA NA NA
## 73 NA NA NA NA
## 74 NA NA NA NA
## 75 NA NA NA NA
## 76 NA NA NA NA
## 77 NA NA NA NA
## 78 NA NA NA NA
## 79 NA NA NA NA
## 80 NA NA NA NA
## 81 NA NA NA NA
## 82 NA NA NA NA
## 83 NA NA NA NA
## 84 NA NA NA NA
## 85 NA NA NA NA
## 86 NA NA NA NA
## 87 NA NA NA NA
## 88 NA NA NA NA
## 89 NA NA NA NA
## 90 NA NA NA NA
## 91 NA NA NA NA
## 92 NA NA NA NA
## 93 NA NA NA NA
## 94 NA NA NA NA
## 95 NA NA NA NA
## 96 NA NA NA NA
## 97 NA NA NA NA
## 98 NA NA NA NA
## 99 NA NA NA NA
## 100 NA NA NA NA
## 101 NA NA NA NA
## 102 NA NA NA NA
## 103 NA NA NA NA
## 104 NA NA NA NA
## 105 NA NA NA NA
## 106 NA NA NA NA
## 107 NA NA NA NA
## 108 NA NA NA NA
## 109 NA NA NA NA
## 110 NA NA NA NA
## 111 NA NA NA NA
## 112 NA NA NA NA
## 113 NA NA NA NA
## 114 NA NA NA NA
## 115 NA NA NA NA
## 116 NA NA NA NA
## 117 NA NA NA NA
## 118 NA NA NA NA
## 119 NA NA NA NA
## 120 NA NA NA NA
## 121 NA NA NA NA
## 122 NA NA NA NA
## 123 NA NA NA NA
## 124 NA NA NA NA
## 125 NA NA NA NA
## 126 NA NA NA NA
## 127 NA NA NA NA
## 128 NA NA NA NA
## 129 NA NA NA NA
## 130 NA NA NA NA
## 131 NA NA NA NA
## 132 NA NA NA NA
## 133 NA NA NA NA
## 134 NA NA NA NA
## 135 NA NA NA NA
## 136 NA NA NA NA
## 137 NA NA NA NA
## 138 NA NA NA NA
## 139 NA NA NA NA
## 140 NA NA NA NA
## 141 NA NA NA NA
## 142 NA NA NA NA
## 143 NA NA NA NA
## 144 NA NA NA NA
## 145 NA NA NA NA
## 146 NA NA NA NA
## 147 NA NA NA NA
## 148 NA NA NA NA
## 149 NA NA NA NA
## 150 NA NA NA NA
## 151 NA NA NA NA
## 152 NA NA NA NA
## 153 NA NA NA NA
## 154 NA NA NA NA
## 155 NA NA NA NA
## 156 NA NA NA NA
## 157 NA NA NA NA
## 158 NA NA NA NA
## 159 NA NA NA NA
## 160 NA NA NA NA
## 161 NA NA NA NA
## 162 NA NA NA NA
## 163 NA NA NA NA
## 164 NA NA NA NA
## 165 NA NA NA NA
## 166 NA NA NA NA
## 167 NA NA NA NA
## 168 NA NA NA NA
## 169 NA NA NA NA
## 170 NA NA NA NA
## 171 NA NA NA NA
## 172 NA NA NA NA
## 173 NA NA NA NA
## 174 NA NA NA NA
## 175 NA NA NA NA
## 176 NA NA NA NA
## 177 NA NA NA NA
## 178 NA NA NA NA
## 179 NA NA NA NA
## 180 NA NA NA NA
## 181 NA NA NA NA
## 182 NA NA NA NA
## 183 NA NA NA NA
## 184 NA NA NA NA
## 185 NA NA NA NA
## 186 NA NA NA NA
## 187 NA NA NA NA
## 188 NA NA NA NA
## 189 NA NA NA NA
## 190 NA NA NA NA
## 191 NA NA NA NA
## 192 NA NA NA NA
## 193 NA NA NA NA
## 194 NA NA NA NA
## 195 NA NA NA NA
## 196 NA NA NA NA
## 197 NA NA NA NA
## 198 NA NA NA NA
## 199 NA NA NA NA
## 200 NA NA NA NA
## 201 NA NA NA NA
## 202 0.7929707 0.6712818 0.236417 58
## 203 0.7929707 0.6712818 0.236417 58
## 204 0.7929707 0.6712818 0.236417 58
## 205 0.7929707 0.6712818 0.236417 58
## 206 0.7929707 0.6712818 0.236417 58
## 207 0.7929707 0.6712818 0.236417 58
## 208 0.7929707 0.6712818 0.236417 58
## 209 0.7929707 0.6712818 0.236417 58
## 210 0.7929707 0.6712818 0.236417 58
## 211 0.7929707 0.6712818 0.236417 58
## 212 0.7929707 0.6712818 0.236417 58
## 213 0.7929707 0.6712818 0.236417 58
## 214 0.7929707 0.6712818 0.236417 58
## 215 0.7929707 0.6712818 0.236417 58
## 216 0.7929707 0.6712818 0.236417 58
## 217 0.7929707 0.6712818 0.236417 58
## 218 0.7929707 0.6712818 0.236417 58
## 219 0.7929707 0.6712818 0.236417 58
## 220 0.7929707 0.6712818 0.236417 58
## 221 0.7929707 0.6712818 0.236417 58
## 222 0.7929707 0.6712818 0.236417 58
## 223 0.7929707 0.6712818 0.236417 58
## 224 0.7929707 0.6712818 0.236417 58
## 225 0.7929707 0.6712818 0.236417 58
## 226 0.7929707 0.6712818 0.236417 58
## 227 0.7929707 0.6712818 0.236417 58
## 228 0.7929707 0.6712818 0.236417 58
## 229 0.7929707 0.6712818 0.236417 58
## 230 0.7929707 0.6712818 0.236417 58
## 231 0.7929707 0.6712818 0.236417 58
## 232 0.7929707 0.6712818 0.236417 58
## 233 0.7929707 0.6712818 0.236417 58
## 234 0.7929707 0.6712818 0.236417 58
## 235 0.7929707 0.6712818 0.236417 58
## 236 0.7929707 0.6712818 0.236417 58
## 237 0.7929707 0.6712818 0.236417 58
## 238 0.7929707 0.6712818 0.236417 58
## 239 0.7929707 0.6712818 0.236417 58
## 240 0.7929707 0.6712818 0.236417 58
## 241 0.7929707 0.6712818 0.236417 58
## 242 0.7929707 0.6712818 0.236417 58
## 243 0.7929707 0.6712818 0.236417 58
## 244 0.7929707 0.6712818 0.236417 58
## 245 0.7929707 0.6712818 0.236417 58
## 246 0.7929707 0.6712818 0.236417 58
## 247 0.7929707 0.6712818 0.236417 58
## 248 0.7929707 0.6712818 0.236417 58
## 249 0.7929707 0.6712818 0.236417 58
## 250 0.7929707 0.6712818 0.236417 58
## 251 0.7929707 0.6712818 0.236417 58
## 252 0.7929707 0.6712818 0.236417 58
## 253 0.7929707 0.6712818 0.236417 58
## 254 0.7929707 0.6712818 0.236417 58
## 255 0.7929707 0.6712818 0.236417 58
## 256 0.7929707 0.6712818 0.236417 58
## 257 0.7929707 0.6712818 0.236417 58
## 258 0.7929707 0.6712818 0.236417 58
## 259 0.7929707 0.6712818 0.236417 58
## 260 0.7929707 0.6712818 0.236417 58
## 261 0.7929707 0.6712818 0.236417 58
## 262 0.7929707 0.6712818 0.236417 58
## 263 0.7929707 0.6712818 0.236417 58
## 264 0.7929707 0.6712818 0.236417 58
## 265 0.7929707 0.6712818 0.236417 58
## 266 0.7929707 0.6712818 0.236417 58
## 267 NA NA NA NA
## 268 NA NA NA NA
## 269 NA NA NA NA
## 270 NA NA NA NA
## 271 NA NA NA NA
## 272 NA NA NA NA
## 273 NA NA NA NA
## 274 NA NA NA NA
## 275 NA NA NA NA
## 276 NA NA NA NA
## 277 NA NA NA NA
## 278 NA NA NA NA
## 279 NA NA NA NA
## 280 NA NA NA NA
## 281 NA NA NA NA
## 282 NA NA NA NA
## 283 NA NA NA NA
## 284 NA NA NA NA
## 285 NA NA NA NA
## 286 NA NA NA NA
## 287 NA NA NA NA
## 288 NA NA NA NA
## 289 NA NA NA NA
## 290 NA NA NA NA
## 291 NA NA NA NA
## 292 NA NA NA NA
## 293 NA NA NA NA
## 294 NA NA NA NA
## 295 NA NA NA NA
## 296 NA NA NA NA
## 297 NA NA NA NA
## 298 NA NA NA NA
## 299 NA NA NA NA
## 300 NA NA NA NA
## 301 NA NA NA NA
## 302 NA NA NA NA
## 303 NA NA NA NA
## 304 NA NA NA NA
## 305 NA NA NA NA
## 306 NA NA NA NA
## 307 NA NA NA NA
## 308 NA NA NA NA
## 309 NA NA NA NA
## 310 NA NA NA NA
## 311 NA NA NA NA
## 312 NA NA NA NA
## 313 NA NA NA NA
## 314 NA NA NA NA
## 315 NA NA NA NACleanup and apply general correction factors when site-specific data were unavailable
sfBay3 <- sfBay2_joined %>%
mutate(particles.L.blank.corrected.particle.corrected = particles.L.blank.corrected * proportion,
particles.fish.blank.corrected.particle.corrected = particles.fish.blank.corrected * proportion,
particles.kg.blank.corrected.particle.corrected = particles.kg.blank.corrected * proportion,
# CI's
particles.L.blank.corrected.particle.corrected.upper95 = particles.L.blank.corrected * proportion.upper95,
particles.L.blank.corrected.particle.corrected.lower95 = particles.L.blank.corrected * proportion.lower95,
particles.L.blank.corrected.particle.corrected.sd = particles.L.blank.corrected * proportion.sd) %>%
#### Include fiber correction
mutate(particles.L.blank.corrected.particle.corrected.fiber.corrected = particles.L.blank.corrected.particle.corrected * fiber.correction)
sfBay3## sampleID
## 1 17-POC-438-125&355
## 2 17-POC-259-125&355
## 3 20180406MMPStormSBCCMP125&355
## 4 17-POC-283-125&355
## 5 17-POC-515-125&355
## 6 17-POC-100-125&355
## 7 17-POC-130-125&355
## 8 17GR-003-125&355
## 9 20180108MMPStormSBSMMP125&355
## 10 20180108MMPStormCBMeek125&355
## 11 20180108MMPStormCBEmery125&355
## 12 19-POC-198-125&355
## 13 EBDA Aug 31 2017
## 14 EBDA Sept 26 2017
## 15 EBMUD Aug 22 2017
## 16 EBMUD Sept 26 2017
## 17 PA Aug 1 2017
## 18 PA July 20 2017 A
## 19 SJ Aug 10 2017
## 20 SJ Sept 19 2017
## 21 SUNN Sept 19 2017
## 22 CCCSD Sept 7 2017
## 23 FSSD Aug 23 2017
## 24 FSSD Sept 7 2017
## 25 EBMUD Oct 20 2017
## 26 SFPUC Nov 6 2017
## 27 SFPUC Nov 7 2017
## 28 SUNN Oct 17 2017
## 29 CCCSD Dec 6 2017
## 30 AN LSB06_1
## 31 AN LSB06_2
## 32 AN LSB06_4
## 33 TS LSB06_1
## 34 TS LSB06_2
## 35 TS LSB06_3
## 36 TS LSB06_4
## 37 AN LSB06_3
## 38 TS LSB06_5
## 39 TS LSB06_6
## 40 TS LSB06_7
## 41 TS LSB06_8
## 42 TS LSB06_9
## 43 TS LSB06_10
## 44 AN TB101_1
## 45 AN TB101_2
## 46 AN TB101_3
## 47 AN TB101_4
## 48 AN TB101_5
## 49 AN TB101_6
## 50 AN TB101_7
## 51 AN TB101_8
## 52 AN TB101_9
## 53 AN TB101_10
## 54 AN TB102_1
## 55 AN TB102_2
## 56 AN TB102_3
## 57 AN TB102_4
## 58 AN TB102_5
## 59 AN TB102_6
## 60 AN TB102_7
## 61 AN TB102_8
## 62 AN TB102_9
## 63 AN TB102_10
## 64 TS TB101_1
## 65 TS TB101_2
## 66 TS TB101_3
## 67 TS TB101_4
## 68 TS TB101_5
## 69 TS TB101_6
## 70 TS TB101_7
## 71 TS TB101_8
## 72 TS TB101_9
## 73 TS TB101_10
## 74 TS CB106_1
## 75 TS CB106_2
## 76 TS CB106_3
## 77 TS CB106_4
## 78 TS CB106_5
## 79 TS CB106_6
## 80 TS CB106_7
## 81 TS CB106_8
## 82 TS CB106_9
## 83 TS CB106_10
## 84 AN CB106_1
## 85 AN CB106_2
## 86 AN CB106_3
## 87 AN CB106_4
## 88 AN CB106_5
## 89 AN CB106_6
## 90 AN CB106_7
## 91 AN CB106_8
## 92 AN CB106_9
## 93 AN CB106_10
## 94 AN CB010_1
## 95 AN CB010_2
## 96 AN CB010_4
## 97 AN CB010_3
## 98 AN CB010_5
## 99 AN CB010_6
## 100 AN CB010_7
## 101 AN CB010_8
## 102 AN CB010_9
## 103 AN CB010_10
## 104 TS CB010_1
## 105 TS CB010_2
## 106 TS CB010_3
## 107 TS CB010_4
## 108 TS CB010_5
## 109 TS CB010_6
## 110 TS CB010_7
## 111 TS CB010_8
## 112 AN SOSL40_1
## 113 AN SOSL40_2
## 114 AN SOSL40_3
## 115 AN SOSL40_4
## 116 AN SOSL40_5
## 117 AN SOSL40_6
## 118 AN SOSL40_7
## 119 AN SOSL40_8
## 120 AN SOSL40_9
## 121 AN SOSL40_10
## 122 AN SB074_1
## 123 AN SB074_2
## 124 AN SB074_3
## 125 AN SB074_4
## 126 AN SB074_5
## 127 AN SB074_6
## 128 AN SB074_7
## 129 AN SB074_8
## 130 AN SB074_9
## 131 AN SB074_10
## 132 TS SB074_1
## 133 TS SB074_2
## 134 TS SB074_3
## 135 TS SB074_4
## 136 TS SB074_5
## 137 TS SB074_6
## 138 TS SB074_7
## 139 TS SB074_8
## 140 TS SB074_9
## 141 TS SB074_10
## 142 AN CB037_1
## 143 AN CB037_2
## 144 AN CB037_3
## 145 AN CB037_4
## 146 AN CB037_5
## 147 AN CB037_6
## 148 AN CB037_7
## 149 AN CB037_8
## 150 AN CB037_9
## 151 AN CB037_10
## 152 TS CB037_1
## 153 TS CB037_2
## 154 TS CB037_3
## 155 TS CB037_4
## 156 TS CB037_5
## 157 TS CB037_6
## 158 TS CB037_7
## 159 TS CB037_8
## 160 TS CB037_9
## 161 TS CB037_10
## 162 TS SOSL40_1
## 163 TS SOSL40_2
## 164 TS SOSL40_3
## 165 TS SOSL40_4
## 166 TS SOSL40_5
## 167 TS SOSL40_6
## 168 TS SOSL40_7
## 169 TS SOSL40_8
## 170 TS SOSL40_9
## 171 TS SOSL40_10
## 172 TS TB102_1
## 173 TS TB102_2
## 174 TS TB102_3
## 175 TS TB102_4
## 176 TS TB102_5
## 177 TS TB102_6
## 178 TS TB102_7
## 179 TS TB102_8
## 180 TS TB102_9
## 181 TS TB102_10
## 182 RMP_14SC_1153
## 183 15RMPMC_CB10_MP1
## 184 15RMPMC-CB15-MP1
## 185 15RMPMC_CB32_MP1
## 186 15RMPC_CB37_MP1
## 187 17MMP_S_LSB02_MP_1
## 188 17MMP_S_LSB04_MP_1
## 189 17MMP-S-LSB06-MP
## 190 15RMP_14SC_1270
## 191 17MMP_S_SB051_MP_1
## 192 17MMP_SB056_MP_1
## 193 17MMP_S_SB074_MP_1
## 194 17MMP_S_SOSL16_MP_1
## 195 17MMP_S_SOSL40_MP1
## 196 17MMP-S-SPB128-MP
## 197 17MMP_S_SPB15_MP1
## 198 17MMP-S-SUB52-MP
## 199 17MMP_S_SUB53_MP
## 200 17MMP_S_TB101_MP
## 201 17MMP_S_TB102_MP
## 202 CB4 Aug 21
## 203 CB4 Richmond Bdg Nov 16
## 204 CB5 Aug 22
## 205 CB5 Nov 16
## 206 CB5 Nov 5
## 207 CB6 Aug 22
## 208 CB6 Nov 16
## 209 CB7 Aug 22 DUP
## 210 CB7 Bay Bridge Nov 16
## 211 CB8 Aug 25
## 212 CB8 Jan 11
## 213 CB9 Aug 22
## 214 CB9 Jan 11 Total
## 215 CBNMS22 Mar 30
## 216 CBNMS22 Sept 12
## 217 CBNMS23 Mar 29
## 218 CBNMS23 Sept 12
## 219 CBNMS24 Sept 13
## 220 GFNMS24 Mar 29
## 221 GFNMS25 Mar 30
## 222 GFNMS25 Sept 11
## 223 GFNMS26 Mar 29
## 224 GFNMS26 Sept 12
## 225 GFNMS27 March 29
## 226 GFNMS27 Sept 13
## 227 GFNMS28 Mar 30
## 228 GFNMS28 DUP Sept 13
## 229 LSB14 Aug 24
## 230 LSB14 Mar 6
## 231 LSB15 Aug 24
## 232 LSB15 Mar 6
## 233 LSB16 Aug 24
## 234 LSB16 Mar 6
## 235 MBNMS29 Jan 11 2018
## 236 MBNMS29 Mar 30
## 237 MBNMS29 Nov 17 2017
## 238 MBNMS29 Sept 13
## 239 MBNMS30 Mar 31
## 240 MBNMS30 Sept 27
## 241 MBNMS31 Mar 31
## 242 MBNMS31 Sept 27
## 243 MBNMS32 Mar 31
## 244 MBNMS32 Sept 27
## 245 SB10 Aug 23
## 246 SB10 Mar 19
## 247 SB11 Aug 23
## 248 SB11 Mar 19
## 249 SB12 Aug 23
## 250 SB12 Mar 19
## 251 SB13 Aug 23
## 252 SB13 Mar 19
## 253 SF Bay Treasure Island Sept 18
## 254 SF Bay Treasure Island Sept 18
## 255 SPB2 Aug 21 2017
## 256 SPB2 Aug 21 2017
## 257 SPB2 Nov 16
## 258 SPB2 Nov 16
## 259 SPB3 Aug 21
## 260 SPB3 Aug 21
## 261 SPB3 Nov 17
## 262 SPB3 Nov 17
## 263 SUB1 Aug 21
## 264 SUB1 Aug 21
## 265 SUB1 Nov 17
## 266 SUB1 Nov 17
## 267 CB4 Aug 21 grab
## 268 CB4 Nov 22 grab
## 269 CB5 Aug 22 grab
## 270 CB5 Nov 22 grab
## 271 CB6 Aug 22 grab
## 272 CB6 Nov 22 grab
## 273 CB7 Aug 22 grab
## 274 CB7 Nov 22 grab
## 275 CB8 Aug 22 grab
## 276 CB8 Jan 11 grab
## 277 CB9 Aug 22 grab
## 278 CB9 Jan 22 grab
## 279 CBNMS22 Sept 12 grab
## 280 CBNMS23 Sep 22 grab
## 281 CBNMS24 Sep 22 grab
## 282 GFNMS/MBNMS29 Jan 22 grab
## 283 GFNMS25 Mar 22 grab
## 284 GFNMS25 Sept 11 grab
## 285 GFNMS26 Sept 12 grab
## 286 GFNMS27 Sep 22 grab
## 287 GFNMS28 (DUP for Manta) Sep 22 grab
## 288 LSB14 Mar 22 grab
## 289 LSB15 (corrected from LSB14 to LSB15) Mar 22 grab
## 290 LSB16 Aug 22 grab
## 291 LSB16 Mar 22 grab
## 292 MBNMS26 (GFNMS26 on bottle) Mar 22 grab
## 293 MBNMS28 (GFNMS28?) Mar 22 grab
## 294 MBNMS29 Mar 30 grab
## 295 MBNMS29 Nov 22 grab
## 296 MBNMS29 Sept 13 grab
## 297 MBNMS30 Mar 30 (Mar 31 for Manta) grab
## 298 MBNMS30 Sep 22 grab
## 299 MBNMS31 Mar 22 grab
## 300 MBNMS31 Sep 22 grab
## 301 MBNMS32 Mar 22 grab
## 302 MBNMS32 Sep 22 grab
## 303 SB10 Aug 22 grab
## 304 SB10 Mar 22 grab
## 305 SB11 Aug 22 grab
## 306 SB11 Mar 22 grab
## 307 SB12 Mar 19 grab
## 308 SB13 Aug 23 grab
## 309 SB13 Mar 22 grab
## 310 SPB2 Aug 21 2017 grab
## 311 SPB2 Nov 16 grab
## 312 SPB3 Aug 22 grab
## 313 SPB3 Nov 22 grab
## 314 SUB1 Aug 22 grab
## 315 SUB1 Nov 22 grab
## specific.location System general.location
## 1 Rodeo Creek at Seacliff Ct Pedestrian Br Estuary <NA>
## 2 Refugio Creek at Tsushima St Estuary <NA>
## 3 Coyote Creek Estuary <NA>
## 4 Colma Ck at S. Linden Blvd Estuary <NA>
## 5 Line 12K at Coliseum Entrance Estuary <NA>
## 6 Line 12F below PG&E station Estuary <NA>
## 7 Line 12J at mouth to 12K Estuary <NA>
## 8 Guadalupe River at Highway 101 Estuary <NA>
## 9 San Mateo Creek Estuary <NA>
## 10 Meeker Slough at Regatta Blvd Estuary <NA>
## 11 MMP-Storm-CB-Emery Estuary <NA>
## 12 12M Rep1 Estuary <NA>
## 13 <NA> Estuary <NA>
## 14 <NA> Estuary <NA>
## 15 <NA> Estuary <NA>
## 16 <NA> Estuary <NA>
## 17 <NA> Estuary <NA>
## 18 <NA> Estuary <NA>
## 19 <NA> Estuary <NA>
## 20 <NA> Estuary <NA>
## 21 <NA> Estuary <NA>
## 22 <NA> Estuary <NA>
## 23 <NA> Estuary <NA>
## 24 <NA> Estuary <NA>
## 25 <NA> Estuary <NA>
## 26 <NA> Estuary <NA>
## 27 <NA> Estuary <NA>
## 28 <NA> Estuary <NA>
## 29 <NA> Estuary <NA>
## 30 <NA> Estuary Lower South Bay
## 31 <NA> Estuary Lower South Bay
## 32 <NA> Estuary Lower South Bay
## 33 <NA> Estuary Lower South Bay
## 34 <NA> Estuary Lower South Bay
## 35 <NA> Estuary Lower South Bay
## 36 <NA> Estuary Lower South Bay
## 37 <NA> Estuary Lower South Bay
## 38 <NA> Estuary Lower South Bay
## 39 <NA> Estuary Lower South Bay
## 40 <NA> Estuary Lower South Bay
## 41 <NA> Estuary Lower South Bay
## 42 <NA> Estuary Lower South Bay
## 43 <NA> Estuary Lower South Bay
## 44 <NA> Estuary Tomales Bay
## 45 <NA> Estuary Tomales Bay
## 46 <NA> Estuary Tomales Bay
## 47 <NA> Estuary Tomales Bay
## 48 <NA> Estuary Tomales Bay
## 49 <NA> Estuary Tomales Bay
## 50 <NA> Estuary Tomales Bay
## 51 <NA> Estuary Tomales Bay
## 52 <NA> Estuary Tomales Bay
## 53 <NA> Estuary Tomales Bay
## 54 <NA> Estuary Tomales Bay
## 55 <NA> Estuary Tomales Bay
## 56 <NA> Estuary Tomales Bay
## 57 <NA> Estuary Tomales Bay
## 58 <NA> Estuary Tomales Bay
## 59 <NA> Estuary Tomales Bay
## 60 <NA> Estuary Tomales Bay
## 61 <NA> Estuary Tomales Bay
## 62 <NA> Estuary Tomales Bay
## 63 <NA> Estuary Tomales Bay
## 64 <NA> Estuary Tomales Bay
## 65 <NA> Estuary Tomales Bay
## 66 <NA> Estuary Tomales Bay
## 67 <NA> Estuary Tomales Bay
## 68 <NA> Estuary Tomales Bay
## 69 <NA> Estuary Tomales Bay
## 70 <NA> Estuary Tomales Bay
## 71 <NA> Estuary Tomales Bay
## 72 <NA> Estuary Tomales Bay
## 73 <NA> Estuary Tomales Bay
## 74 <NA> Estuary Central Bay
## 75 <NA> Estuary Central Bay
## 76 <NA> Estuary Central Bay
## 77 <NA> Estuary Central Bay
## 78 <NA> Estuary Central Bay
## 79 <NA> Estuary Central Bay
## 80 <NA> Estuary Central Bay
## 81 <NA> Estuary Central Bay
## 82 <NA> Estuary Central Bay
## 83 <NA> Estuary Central Bay
## 84 <NA> Estuary Central Bay
## 85 <NA> Estuary Central Bay
## 86 <NA> Estuary Central Bay
## 87 <NA> Estuary Central Bay
## 88 <NA> Estuary Central Bay
## 89 <NA> Estuary Central Bay
## 90 <NA> Estuary Central Bay
## 91 <NA> Estuary Central Bay
## 92 <NA> Estuary Central Bay
## 93 <NA> Estuary Central Bay
## 94 <NA> Estuary Central Bay
## 95 <NA> Estuary Central Bay
## 96 <NA> Estuary Central Bay
## 97 <NA> Estuary Central Bay
## 98 <NA> Estuary Central Bay
## 99 <NA> Estuary Central Bay
## 100 <NA> Estuary Central Bay
## 101 <NA> Estuary Central Bay
## 102 <NA> Estuary Central Bay
## 103 <NA> Estuary Central Bay
## 104 <NA> Estuary Central Bay
## 105 <NA> Estuary Central Bay
## 106 <NA> Estuary Central Bay
## 107 <NA> Estuary Central Bay
## 108 <NA> Estuary Central Bay
## 109 <NA> Estuary Central Bay
## 110 <NA> Estuary Central Bay
## 111 <NA> Estuary Central Bay
## 112 <NA> Estuary <NA>
## 113 <NA> Estuary <NA>
## 114 <NA> Estuary <NA>
## 115 <NA> Estuary <NA>
## 116 <NA> Estuary <NA>
## 117 <NA> Estuary <NA>
## 118 <NA> Estuary <NA>
## 119 <NA> Estuary <NA>
## 120 <NA> Estuary <NA>
## 121 <NA> Estuary <NA>
## 122 <NA> Estuary South Bay
## 123 <NA> Estuary South Bay
## 124 <NA> Estuary South Bay
## 125 <NA> Estuary South Bay
## 126 <NA> Estuary South Bay
## 127 <NA> Estuary South Bay
## 128 <NA> Estuary South Bay
## 129 <NA> Estuary South Bay
## 130 <NA> Estuary South Bay
## 131 <NA> Estuary South Bay
## 132 <NA> Estuary South Bay
## 133 <NA> Estuary South Bay
## 134 <NA> Estuary South Bay
## 135 <NA> Estuary South Bay
## 136 <NA> Estuary South Bay
## 137 <NA> Estuary South Bay
## 138 <NA> Estuary South Bay
## 139 <NA> Estuary South Bay
## 140 <NA> Estuary South Bay
## 141 <NA> Estuary South Bay
## 142 <NA> Estuary Central Bay
## 143 <NA> Estuary Central Bay
## 144 <NA> Estuary Central Bay
## 145 <NA> Estuary Central Bay
## 146 <NA> Estuary Central Bay
## 147 <NA> Estuary Central Bay
## 148 <NA> Estuary Central Bay
## 149 <NA> Estuary Central Bay
## 150 <NA> Estuary Central Bay
## 151 <NA> Estuary Central Bay
## 152 <NA> Estuary Central Bay
## 153 <NA> Estuary Central Bay
## 154 <NA> Estuary Central Bay
## 155 <NA> Estuary Central Bay
## 156 <NA> Estuary Central Bay
## 157 <NA> Estuary Central Bay
## 158 <NA> Estuary Central Bay
## 159 <NA> Estuary Central Bay
## 160 <NA> Estuary Central Bay
## 161 <NA> Estuary Central Bay
## 162 <NA> Estuary SOSL
## 163 <NA> Estuary SOSL
## 164 <NA> Estuary SOSL
## 165 <NA> Estuary SOSL
## 166 <NA> Estuary SOSL
## 167 <NA> Estuary SOSL
## 168 <NA> Estuary SOSL
## 169 <NA> Estuary SOSL
## 170 <NA> Estuary SOSL
## 171 <NA> Estuary SOSL
## 172 <NA> Estuary Tomales Bay
## 173 <NA> Estuary Tomales Bay
## 174 <NA> Estuary Tomales Bay
## 175 <NA> Estuary Tomales Bay
## 176 <NA> Estuary Tomales Bay
## 177 <NA> Estuary Tomales Bay
## 178 <NA> Estuary Tomales Bay
## 179 <NA> Estuary Tomales Bay
## 180 <NA> Estuary Tomales Bay
## 181 <NA> Estuary Tomales Bay
## 182 <NA> Estuary SC
## 183 <NA> Estuary Central Bay
## 184 <NA> Estuary Central Bay
## 185 <NA> Estuary Central Bay
## 186 <NA> Estuary Central Bay
## 187 <NA> Estuary Lower South Bay
## 188 <NA> Estuary Lower South Bay
## 189 <NA> Estuary Lower South Bay
## 190 <NA> Estuary SC
## 191 <NA> Estuary South Bay
## 192 <NA> Estuary South Bay
## 193 <NA> Estuary South Bay
## 194 <NA> Estuary SOSL
## 195 <NA> Estuary SOSL
## 196 <NA> Estuary SPB
## 197 <NA> Estuary SPB
## 198 <NA> Estuary SUB
## 199 <NA> Estuary SUB
## 200 <NA> Estuary Tomales Bay
## 201 <NA> Estuary Tomales Bay
## 202 <NA> Estuary Central Bay
## 203 <NA> Estuary Central Bay
## 204 <NA> Estuary Central Bay
## 205 <NA> Estuary Central Bay
## 206 <NA> Estuary Central Bay
## 207 <NA> Estuary Central Bay
## 208 <NA> Estuary Central Bay
## 209 <NA> Estuary Central Bay
## 210 <NA> Estuary Central Bay
## 211 <NA> Estuary Central Bay
## 212 <NA> Estuary Central Bay
## 213 <NA> Estuary Central Bay
## 214 <NA> Estuary Central Bay
## 215 <NA> Estuary National Marine Sancturay
## 216 <NA> Estuary National Marine Sancturay
## 217 <NA> Estuary National Marine Sancturay
## 218 <NA> Estuary National Marine Sancturay
## 219 <NA> Estuary National Marine Sancturay
## 220 <NA> Estuary National Marine Sancturay
## 221 <NA> Estuary National Marine Sancturay
## 222 <NA> Estuary National Marine Sancturay
## 223 <NA> Estuary National Marine Sancturay
## 224 <NA> Estuary National Marine Sancturay
## 225 <NA> Estuary National Marine Sancturay
## 226 <NA> Estuary National Marine Sancturay
## 227 <NA> Estuary National Marine Sancturay
## 228 <NA> Estuary National Marine Sancturay
## 229 <NA> Estuary Lower South Bay
## 230 <NA> Estuary Lower South Bay
## 231 <NA> Estuary Lower South Bay
## 232 <NA> Estuary Lower South Bay
## 233 <NA> Estuary Lower South Bay
## 234 <NA> Estuary Lower South Bay
## 235 <NA> Estuary National Marine Sancturay
## 236 <NA> Estuary National Marine Sancturay
## 237 <NA> Estuary National Marine Sancturay
## 238 <NA> Estuary National Marine Sancturay
## 239 <NA> Estuary National Marine Sancturay
## 240 <NA> Estuary National Marine Sancturay
## 241 <NA> Estuary National Marine Sancturay
## 242 <NA> Estuary National Marine Sancturay
## 243 <NA> Estuary National Marine Sancturay
## 244 <NA> Estuary National Marine Sancturay
## 245 <NA> Estuary South Bay
## 246 <NA> Estuary South Bay
## 247 <NA> Estuary South Bay
## 248 <NA> Estuary South Bay
## 249 <NA> Estuary South Bay
## 250 <NA> Estuary South Bay
## 251 <NA> Estuary South Bay
## 252 <NA> Estuary South Bay
## 253 <NA> Estuary Treasure Island
## 254 <NA> Estuary Treasure Island
## 255 <NA> Estuary SPB
## 256 <NA> Estuary SPB
## 257 <NA> Estuary SPB
## 258 <NA> Estuary SPB
## 259 <NA> Estuary SPB
## 260 <NA> Estuary SPB
## 261 <NA> Estuary SPB
## 262 <NA> Estuary SPB
## 263 <NA> Estuary SUB
## 264 <NA> Estuary SUB
## 265 <NA> Estuary SUB
## 266 <NA> Estuary SUB
## 267 <NA> Estuary Central Bay
## 268 <NA> Estuary Central Bay
## 269 <NA> Estuary Central Bay
## 270 <NA> Estuary Central Bay
## 271 <NA> Estuary Central Bay
## 272 <NA> Estuary Central Bay
## 273 <NA> Estuary Central Bay
## 274 <NA> Estuary Central Bay
## 275 <NA> Estuary Central Bay
## 276 <NA> Estuary Central Bay
## 277 <NA> Estuary Central Bay
## 278 <NA> Estuary Central Bay
## 279 <NA> Estuary National Marine Sancturay
## 280 <NA> Estuary National Marine Sancturay
## 281 <NA> Estuary National Marine Sancturay
## 282 <NA> Estuary National Marine Sancturay
## 283 <NA> Estuary National Marine Sancturay
## 284 <NA> Estuary National Marine Sancturay
## 285 <NA> Estuary National Marine Sancturay
## 286 <NA> Estuary National Marine Sancturay
## 287 <NA> Estuary National Marine Sancturay
## 288 <NA> Estuary Lower South Bay
## 289 <NA> Estuary Lower South Bay
## 290 <NA> Estuary Lower South Bay
## 291 <NA> Estuary Lower South Bay
## 292 <NA> Estuary National Marine Sancturay
## 293 <NA> Estuary National Marine Sancturay
## 294 <NA> Estuary National Marine Sancturay
## 295 <NA> Estuary National Marine Sancturay
## 296 <NA> Estuary National Marine Sancturay
## 297 <NA> Estuary National Marine Sancturay
## 298 <NA> Estuary National Marine Sancturay
## 299 <NA> Estuary National Marine Sancturay
## 300 <NA> Estuary National Marine Sancturay
## 301 <NA> Estuary National Marine Sancturay
## 302 <NA> Estuary National Marine Sancturay
## 303 <NA> Estuary South Bay
## 304 <NA> Estuary South Bay
## 305 <NA> Estuary South Bay
## 306 <NA> Estuary South Bay
## 307 <NA> Estuary South Bay
## 308 <NA> Estuary South Bay
## 309 <NA> Estuary South Bay
## 310 <NA> Estuary SPB
## 311 <NA> Estuary SPB
## 312 <NA> Estuary SPB
## 313 <NA> Estuary SPB
## 314 <NA> Estuary SUB
## 315 <NA> Estuary SUB
## latitude longitude particles.L.blank.corrected
## 1 38.016 -122.254 1.6300000
## 2 38.018 -122.277 1.6500000
## 3 37.385832 -121.909581 7.2000000
## 4 37.65 -122.412 5.6300000
## 5 37.754 -122.204 4.9400000
## 6 37.762 -122.214 8.4300000
## 7 37.755 -122.201 10.0600000
## 8 37.37356 -121.93283 2.3100000
## 9 37.572638 -122.310769 1.0900000
## 10 37.917861 -122.33838 17.8400000
## 11 37.83429 -122.29349 12.3600000
## 12 37.746843 -122.200699 24.4100000
## 13 37.6952 -122.1858 0.0645000
## 14 37.6952 -122.1858 0.0115000
## 15 37.8236 -122.2956 0.1778000
## 16 37.8236 -122.2956 0.0421000
## 17 37.4527 -122.1108 0.0030000
## 18 37.4527 -122.1108 0.0054000
## 19 37.4332 -121.9522 0.0186000
## 20 37.4332 -121.9522 0.0233000
## 21 37.4193 -122.0162 0.0222000
## 22 37.9961 -122.0686 0.0778000
## 23 38.2233 -122.0829 0.0037000
## 24 38.2233 -122.0829 0.0055000
## 25 37.8236 -122.2956 0.1083000
## 26 37.7476 -122.3728 0.1593000
## 27 37.7476 -122.3728 0.1816000
## 28 37.4193 -122.0162 0.0075000
## 29 37.9961 -122.0686 0.0683000
## 30 37.4576 -122.0921 NA
## 31 37.4576 -122.0921 NA
## 32 37.4576 -122.0921 NA
## 33 37.4576 -122.0921 NA
## 34 37.4576 -122.0921 NA
## 35 37.4576 -122.0921 NA
## 36 37.4576 -122.0921 NA
## 37 37.4576 -122.0921 NA
## 38 37.4576 -122.0921 NA
## 39 37.4576 -122.0921 NA
## 40 37.4576 -122.0921 NA
## 41 37.4576 -122.0921 NA
## 42 37.4576 -122.0921 NA
## 43 37.4576 -122.0921 NA
## 44 38.2093 -122.9292 NA
## 45 38.2093 -122.9292 NA
## 46 38.2093 -122.9292 NA
## 47 38.2093 -122.9292 NA
## 48 38.2093 -122.9292 NA
## 49 38.2093 -122.9292 NA
## 50 38.2093 -122.9292 NA
## 51 38.2093 -122.9292 NA
## 52 38.2093 -122.9292 NA
## 53 38.2093 -122.9292 NA
## 54 38.0908 -122.8358 NA
## 55 38.0908 -122.8358 NA
## 56 38.0908 -122.8358 NA
## 57 38.0908 -122.8358 NA
## 58 38.0908 -122.8358 NA
## 59 38.0908 -122.8358 NA
## 60 38.0908 -122.8358 NA
## 61 38.0908 -122.8358 NA
## 62 38.0908 -122.8358 NA
## 63 38.0908 -122.8358 NA
## 64 38.2093 -122.9292 NA
## 65 38.2093 -122.9292 NA
## 66 38.2093 -122.9292 NA
## 67 38.2093 -122.9292 NA
## 68 38.2093 -122.9292 NA
## 69 38.2093 -122.9292 NA
## 70 38.2093 -122.9292 NA
## 71 38.2093 -122.9292 NA
## 72 38.2093 -122.9292 NA
## 73 38.2093 -122.9292 NA
## 74 37.7579 -122.3055 NA
## 75 37.7579 -122.3055 NA
## 76 37.7579 -122.3055 NA
## 77 37.7579 -122.3055 NA
## 78 37.7579 -122.3055 NA
## 79 37.7579 -122.3055 NA
## 80 37.7579 -122.3055 NA
## 81 37.7579 -122.3055 NA
## 82 37.7579 -122.3055 NA
## 83 37.7579 -122.3055 NA
## 84 37.7579 -122.3055 NA
## 85 37.7579 -122.3055 NA
## 86 37.7579 -122.3055 NA
## 87 37.7579 -122.3055 NA
## 88 37.7579 -122.3055 NA
## 89 37.7579 -122.3055 NA
## 90 37.7579 -122.3055 NA
## 91 37.7579 -122.3055 NA
## 92 37.7579 -122.3055 NA
## 93 37.7579 -122.3055 NA
## 94 37.9067 -122.3467 NA
## 95 37.9067 -122.3467 NA
## 96 37.9067 -122.3467 NA
## 97 37.9067 -122.3467 NA
## 98 37.9067 -122.3467 NA
## 99 37.9067 -122.3467 NA
## 100 37.9067 -122.3467 NA
## 101 37.9067 -122.3467 NA
## 102 37.9067 -122.3467 NA
## 103 37.9067 -122.3467 NA
## 104 37.9067 -122.3467 NA
## 105 37.9067 -122.3467 NA
## 106 37.9067 -122.3467 NA
## 107 37.9067 -122.3467 NA
## 108 37.9067 -122.3467 NA
## 109 37.9067 -122.3467 NA
## 110 37.9067 -122.3467 NA
## 111 37.9067 -122.3467 NA
## 112 37.4621 -122.0217 NA
## 113 37.4621 -122.0217 NA
## 114 37.4621 -122.0217 NA
## 115 37.4621 -122.0217 NA
## 116 37.4621 -122.0217 NA
## 117 37.4621 -122.0217 NA
## 118 37.4621 -122.0217 NA
## 119 37.4621 -122.0217 NA
## 120 37.4621 -122.0217 NA
## 121 37.4621 -122.0217 NA
## 122 37.5277 -122.184 NA
## 123 37.5277 -122.184 NA
## 124 37.5277 -122.184 NA
## 125 37.5277 -122.184 NA
## 126 37.5277 -122.184 NA
## 127 37.5277 -122.184 NA
## 128 37.5277 -122.184 NA
## 129 37.5277 -122.184 NA
## 130 37.5277 -122.184 NA
## 131 37.5277 -122.184 NA
## 132 37.5277 -122.184 NA
## 133 37.5277 -122.184 NA
## 134 37.5277 -122.184 NA
## 135 37.5277 -122.184 NA
## 136 37.5277 -122.184 NA
## 137 37.5277 -122.184 NA
## 138 37.5277 -122.184 NA
## 139 37.5277 -122.184 NA
## 140 37.5277 -122.184 NA
## 141 37.5277 -122.184 NA
## 142 37.6414 -122.3945 NA
## 143 37.6414 -122.3945 NA
## 144 37.6414 -122.3945 NA
## 145 37.6414 -122.3945 NA
## 146 37.6414 -122.3945 NA
## 147 37.6414 -122.3945 NA
## 148 37.6414 -122.3945 NA
## 149 37.6414 -122.3945 NA
## 150 37.6414 -122.3945 NA
## 151 37.6414 -122.3945 NA
## 152 37.6414 -122.3945 NA
## 153 37.6414 -122.3945 NA
## 154 37.6414 -122.3945 NA
## 155 37.6414 -122.3945 NA
## 156 37.6414 -122.3945 NA
## 157 37.6414 -122.3945 NA
## 158 37.6414 -122.3945 NA
## 159 37.6414 -122.3945 NA
## 160 37.6414 -122.3945 NA
## 161 37.6414 -122.3945 NA
## 162 37.4621 -122.0217 NA
## 163 37.4621 -122.0217 NA
## 164 37.4621 -122.0217 NA
## 165 37.4621 -122.0217 NA
## 166 37.4621 -122.0217 NA
## 167 37.4621 -122.0217 NA
## 168 37.4621 -122.0217 NA
## 169 37.4621 -122.0217 NA
## 170 37.4621 -122.0217 NA
## 171 37.4621 -122.0217 NA
## 172 38.0908 -122.8358 NA
## 173 38.0908 -122.8358 NA
## 174 38.0908 -122.8358 NA
## 175 38.0908 -122.8358 NA
## 176 38.0908 -122.8358 NA
## 177 38.0908 -122.8358 NA
## 178 38.0908 -122.8358 NA
## 179 38.0908 -122.8358 NA
## 180 38.0908 -122.8358 NA
## 181 38.0908 -122.8358 NA
## 182 37.8766 -122.3615 NA
## 183 37.9067 -122.3467 NA
## 184 37.8279 -122.3034 NA
## 185 37.7566 -122.2204 NA
## 186 37.6414 -122.3945 NA
## 187 37.4628 -122.105 NA
## 188 37.4864 -122.069 NA
## 189 37.4576 -122.092 NA
## 190 37.6104 -122.167 NA
## 191 37.6018 -122.362 NA
## 192 37.5605 -122.131 NA
## 193 37.5277 -122.184 NA
## 194 37.4576 -122.04 NA
## 195 37.4621 -122.022 NA
## 196 38.0157 -122.3002 NA
## 197 38.1084 -122.4881 NA
## 198 38.1362 -122.035 NA
## 199 38.0441 -122.0969 NA
## 200 38.2093 -122.9292 NA
## 201 38.0908 -122.8358 NA
## 202 37.92 -122.44 0.0000230
## 203 37.92 -122.43 0.0061140
## 204 37.84 -122.42 0.0004390
## 205 37.85 -122.41 0.0018880
## 206 37.85 -122.41 0.0005110
## 207 37.83 -122.32 0.0000830
## 208 37.83 -122.32 0.0004640
## 209 N/A N/A 0.0007740
## 210 37.78 -122.35 0.0007290
## 211 37.75 -122.23 0.0022650
## 212 37.75 -122.23 0.0043430
## 213 37.69 -122.29 0.0001880
## 214 37.69 -122.3 0.0555910
## 215 38.1 -123.11 0.0000880
## 216 38.11 -123.11 0.0001630
## 217 38.02 -123.33 0.0001260
## 218 38.03 -123.31 0.0001390
## 219 37.99 -123.5 0.0000000
## 220 N/A N/A 0.0000230
## 221 37.97 -122.93 0.0002180
## 222 37.97 -122.93 0.0000200
## 223 37.82 -123.02 0.0000790
## 224 37.82 -123.01 0.0001390
## 225 37.75 -123.26 0.0000780
## 226 37.73 -123.26 0.0000050
## 227 37.81 -122.76 0.0000960
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## 229 37.47 -122.06 0.0009820
## 230 37.48 -122.08 0.0002660
## 231 37.46 -122.08 0.0003570
## 232 37.47 -122.09 0.0002480
## 233 37.46 -122.03 0.0001530
## 234 37.45 -122.03 0.0005160
## 235 37.81 -122.47 0.0003960
## 236 37.79 -122.5 0.0002940
## 237 37.8 -122.5 0.0002730
## 238 37.81 -122.51 0.0000190
## 239 37.67 -122.61 0.0000380
## 240 37.67 -122.61 0.0000680
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## 242 37.51 -122.58 0.0000380
## 243 37.44 -122.93 0.0000680
## 244 37.45 -122.93 0.0000240
## 245 37.65 -122.24 0.0001120
## 246 37.65 -122.23 0.0002360
## 247 37.6 -122.25 0.0001810
## 248 37.59 -122.2 0.0026050
## 249 37.59 -122.28 0.0001280
## 250 37.58 -122.27 0.0004880
## 251 37.57 -122.21 0.0028990
## 252 37.56 -122.22 0.0013840
## 253 37.82 -122.36 0.0004260
## 254 37.82 -122.36 0.0004260
## 255 38.05 -122.42 0.0000590
## 256 38.05 -122.42 0.0000590
## 257 38.06 -122.42 0.0000920
## 258 38.06 -122.42 0.0000920
## 259 38.64 -122.37 0.0006370
## 260 38.64 -122.37 0.0006370
## 261 38.02 -122.37 0.0014090
## 262 38.02 -122.37 0.0014090
## 263 38.11 -122.06 0.0000810
## 264 38.11 -122.06 0.0000810
## 265 38.11 -122.06 0.0001310
## 266 38.11 -122.06 0.0001310
## 267 37.9156 -122.4412 3.4653465
## 268 37.9229 -122.4330 2.7348777
## 269 37.8430 -122.4150 7.4331021
## 270 37.8445 -122.4069 0.6277464
## 271 37.8342 -122.3204 1.9509595
## 272 37.8339 -122.3221 4.9844237
## 273 N/A N/A 2.3251073
## 274 37.7795 -122.3537 1.5827794
## 275 37.7514 -122.2260 2.7035623
## 276 37.7505 -122.2278 2.5510204
## 277 37.6872 -122.2909 6.5789474
## 278 37.6936 -122.2991 18.7110187
## 279 38.1068 -123.1138 3.0000000
## 280 38.0346 -123.3131 1.6404199
## 281 37.9853 -123.4973 8.6715227
## 282 37.8128 -122.4723 0.6523157
## 283 37.9670 -122.9272 0.0000000
## 284 37.9695 -122.9270 1.8115942
## 285 37.8213 -123.0068 0.7095745
## 286 37.7327 -123.2630 1.2626263
## 287 37.8058 -122.7561 3.6647546
## 288 37.4801 -122.0781 3.0984997
## 289 37.4654 -122.0912 1.2795905
## 290 37.4528 -122.0331 7.6190476
## 291 37.4645 -122.0271 2.4122807
## 292 37.8208 -123.0177 13.5732323
## 293 37.8064 -122.7583 2.3832221
## 294 37.8053 -122.5082 0.9433962
## 295 37.7985 -122.5049 35.7031494
## 296 37.7935 -122.5030 2.2525988
## 297 37.6726 -122.6108 2.2022684
## 298 37.6718 -122.6110 1.6056519
## 299 37.5070 -122.5804 4.2694497
## 300 N/A N/A 3.5020694
## 301 37.4504 -122.9320 18.7659033
## 302 37.4446 -122.9280 6.2984496
## 303 37.6534 -122.2281 0.9980040
## 304 37.6500 -122.2433 6.1443932
## 305 37.5863 -122.2022 3.3460803
## 306 37.5983 -122.2502 1.5957447
## 307 37.5829 -122.2708 2.6666667
## 308 37.5649 -122.2227 4.3383948
## 309 37.5701 -122.2129 9.9313832
## 310 38.0513 -122.4218 3.3333333
## 311 38.0598 -122.4244 2.8333333
## 312 38.6405 -122.3716 5.0860720
## 313 38.0239 -122.3682 5.2430887
## 314 38.1071 -122.0563 2.7646130
## 315 38.1079 -122.0570 4.4275775
## particles.fish.blank.corrected particles.kg.blank.corrected sample.matrix
## 1 NA NA water
## 2 NA NA water
## 3 NA NA water
## 4 NA NA water
## 5 NA NA water
## 6 NA NA water
## 7 NA NA water
## 8 NA NA water
## 9 NA NA water
## 10 NA NA water
## 11 NA NA water
## 12 NA NA water
## 13 NA NA water
## 14 NA NA water
## 15 NA NA water
## 16 NA NA water
## 17 NA NA water
## 18 NA NA water
## 19 NA NA water
## 20 NA NA water
## 21 NA NA water
## 22 NA NA water
## 23 NA NA water
## 24 NA NA water
## 25 NA NA water
## 26 NA NA water
## 27 NA NA water
## 28 NA NA water
## 29 NA NA water
## 30 24.27 NA fish
## 31 6.60 NA fish
## 32 0.87 NA fish
## 33 1.00 NA fish
## 34 0.93 NA fish
## 35 3.53 NA fish
## 36 2.40 NA fish
## 37 45.07 NA fish
## 38 8.00 NA fish
## 39 11.67 NA fish
## 40 5.73 NA fish
## 41 5.87 NA fish
## 42 14.47 NA fish
## 43 1.80 NA fish
## 44 0.00 NA fish
## 45 0.00 NA fish
## 46 1.73 NA fish
## 47 0.13 NA fish
## 48 1.80 NA fish
## 49 1.00 NA fish
## 50 5.47 NA fish
## 51 3.87 NA fish
## 52 7.40 NA fish
## 53 6.00 NA fish
## 54 5.47 NA fish
## 55 3.60 NA fish
## 56 0.00 NA fish
## 57 2.00 NA fish
## 58 2.67 NA fish
## 59 1.60 NA fish
## 60 1.13 NA fish
## 61 1.60 NA fish
## 62 1.60 NA fish
## 63 0.87 NA fish
## 64 6.33 NA fish
## 65 0.13 NA fish
## 66 15.40 NA fish
## 67 11.27 NA fish
## 68 11.40 NA fish
## 69 3.27 NA fish
## 70 11.33 NA fish
## 71 1.87 NA fish
## 72 2.40 NA fish
## 73 1.00 NA fish
## 74 11.13 NA fish
## 75 9.07 NA fish
## 76 3.93 NA fish
## 77 8.87 NA fish
## 78 9.40 NA fish
## 79 3.40 NA fish
## 80 9.00 NA fish
## 81 16.40 NA fish
## 82 6.60 NA fish
## 83 1.80 NA fish
## 84 17.53 NA fish
## 85 17.27 NA fish
## 86 11.07 NA fish
## 87 24.00 NA fish
## 88 20.33 NA fish
## 89 14.53 NA fish
## 90 17.73 NA fish
## 91 9.53 NA fish
## 92 13.47 NA fish
## 93 14.60 NA fish
## 94 35.13 NA fish
## 95 20.40 NA fish
## 96 28.13 NA fish
## 97 13.13 NA fish
## 98 13.13 NA fish
## 99 5.73 NA fish
## 100 14.40 NA fish
## 101 15.07 NA fish
## 102 21.93 NA fish
## 103 7.40 NA fish
## 104 21.60 NA fish
## 105 35.40 NA fish
## 106 22.53 NA fish
## 107 6.67 NA fish
## 108 12.33 NA fish
## 109 18.87 NA fish
## 110 8.40 NA fish
## 111 3.40 NA fish
## 112 9.00 NA fish
## 113 0.73 NA fish
## 114 2.47 NA fish
## 115 7.27 NA fish
## 116 2.40 NA fish
## 117 1.67 NA fish
## 118 2.73 NA fish
## 119 5.40 NA fish
## 120 0.73 NA fish
## 121 1.67 NA fish
## 122 3.60 NA fish
## 123 1.73 NA fish
## 124 1.00 NA fish
## 125 1.67 NA fish
## 126 12.87 NA fish
## 127 4.53 NA fish
## 128 3.40 NA fish
## 129 3.73 NA fish
## 130 1.87 NA fish
## 131 4.73 NA fish
## 132 10.13 NA fish
## 133 27.13 NA fish
## 134 31.20 NA fish
## 135 35.13 NA fish
## 136 27.00 NA fish
## 137 24.00 NA fish
## 138 56.13 NA fish
## 139 16.27 NA fish
## 140 21.13 NA fish
## 141 28.13 NA fish
## 142 22.27 NA fish
## 143 9.27 NA fish
## 144 24.07 NA fish
## 145 7.40 NA fish
## 146 12.27 NA fish
## 147 7.13 NA fish
## 148 7.53 NA fish
## 149 7.87 NA fish
## 150 2.13 NA fish
## 151 1.93 NA fish
## 152 7.87 NA fish
## 153 1.53 NA fish
## 154 2.80 NA fish
## 155 8.40 NA fish
## 156 12.40 NA fish
## 157 3.87 NA fish
## 158 8.87 NA fish
## 159 6.47 NA fish
## 160 4.53 NA fish
## 161 2.87 NA fish
## 162 32.93 NA fish
## 163 15.60 NA fish
## 164 44.13 NA fish
## 165 17.47 NA fish
## 166 4.00 NA fish
## 167 6.53 NA fish
## 168 8.80 NA fish
## 169 10.27 NA fish
## 170 7.80 NA fish
## 171 0.80 NA fish
## 172 20.47 NA fish
## 173 13.33 NA fish
## 174 4.27 NA fish
## 175 2.60 NA fish
## 176 6.40 NA fish
## 177 6.47 NA fish
## 178 1.00 NA fish
## 179 3.73 NA fish
## 180 2.27 NA fish
## 181 5.60 NA fish
## 182 NA 425.56 sediment
## 183 NA 1140.55 sediment
## 184 NA 1610.94 sediment
## 185 NA 12095.68 sediment
## 186 NA 2730.69 sediment
## 187 NA 42104.17 sediment
## 188 NA 3647.26 sediment
## 189 NA 7108.70 sediment
## 190 NA 2893.81 sediment
## 191 NA 835.84 sediment
## 192 NA 26.67 sediment
## 193 NA 313.33 sediment
## 194 NA 9270.83 sediment
## 195 NA 7045.45 sediment
## 196 NA 567.78 sediment
## 197 NA 1028.07 sediment
## 198 NA 250.00 sediment
## 199 NA 131.02 sediment
## 200 NA 100.07 sediment
## 201 NA 216.38 sediment
## 202 NA NA water
## 203 NA NA water
## 204 NA NA water
## 205 NA NA water
## 206 NA NA water
## 207 NA NA water
## 208 NA NA water
## 209 NA NA water
## 210 NA NA water
## 211 NA NA water
## 212 NA NA water
## 213 NA NA water
## 214 NA NA water
## 215 NA NA water
## 216 NA NA water
## 217 NA NA water
## 218 NA NA water
## 219 NA NA water
## 220 NA NA water
## 221 NA NA water
## 222 NA NA water
## 223 NA NA water
## 224 NA NA water
## 225 NA NA water
## 226 NA NA water
## 227 NA NA water
## 228 NA NA water
## 229 NA NA water
## 230 NA NA water
## 231 NA NA water
## 232 NA NA water
## 233 NA NA water
## 234 NA NA water
## 235 NA NA water
## 236 NA NA water
## 237 NA NA water
## 238 NA NA water
## 239 NA NA water
## 240 NA NA water
## 241 NA NA water
## 242 NA NA water
## 243 NA NA water
## 244 NA NA water
## 245 NA NA water
## 246 NA NA water
## 247 NA NA water
## 248 NA NA water
## 249 NA NA water
## 250 NA NA water
## 251 NA NA water
## 252 NA NA water
## 253 NA NA water
## 254 NA NA water
## 255 NA NA water
## 256 NA NA water
## 257 NA NA water
## 258 NA NA water
## 259 NA NA water
## 260 NA NA water
## 261 NA NA water
## 262 NA NA water
## 263 NA NA water
## 264 NA NA water
## 265 NA NA water
## 266 NA NA water
## 267 NA NA water
## 268 NA NA water
## 269 NA NA water
## 270 NA NA water
## 271 NA NA water
## 272 NA NA water
## 273 NA NA water
## 274 NA NA water
## 275 NA NA water
## 276 NA NA water
## 277 NA NA water
## 278 NA NA water
## 279 NA NA water
## 280 NA NA water
## 281 NA NA water
## 282 NA NA water
## 283 NA NA water
## 284 NA NA water
## 285 NA NA water
## 286 NA NA water
## 287 NA NA water
## 288 NA NA water
## 289 NA NA water
## 290 NA NA water
## 291 NA NA water
## 292 NA NA water
## 293 NA NA water
## 294 NA NA water
## 295 NA NA water
## 296 NA NA water
## 297 NA NA water
## 298 NA NA water
## 299 NA NA water
## 300 NA NA water
## 301 NA NA water
## 302 NA NA water
## 303 NA NA water
## 304 NA NA water
## 305 NA NA water
## 306 NA NA water
## 307 NA NA water
## 308 NA NA water
## 309 NA NA water
## 310 NA NA water
## 311 NA NA water
## 312 NA NA water
## 313 NA NA water
## 314 NA NA water
## 315 NA NA water
## sample.matrix.specific Sampling.apparatus x1M x2M
## 1 stormwater depth-integrated perisaltic pump 106 5000
## 2 stormwater depth-integrated perisaltic pump 106 5000
## 3 stormwater depth-integrated perisaltic pump 106 5000
## 4 stormwater depth-integrated perisaltic pump 106 5000
## 5 stormwater depth-integrated perisaltic pump 106 5000
## 6 stormwater depth-integrated perisaltic pump 106 5000
## 7 stormwater depth-integrated perisaltic pump 106 5000
## 8 stormwater depth-integrated perisaltic pump 106 5000
## 9 stormwater depth-integrated perisaltic pump 106 5000
## 10 stormwater depth-integrated perisaltic pump 106 5000
## 11 stormwater depth-integrated perisaltic pump 106 5000
## 12 stormwater depth-integrated perisaltic pump 106 5000
## 13 wastewater Composite 110 5000
## 14 wastewater Composite 110 5000
## 15 wastewater Composite 110 5000
## 16 wastewater Composite 110 5000
## 17 wastewater Composite 110 5000
## 18 wastewater Composite 110 5000
## 19 wastewater Composite 110 5000
## 20 wastewater Composite 110 5000
## 21 wastewater Composite 110 5000
## 22 wastewater Composite 110 5000
## 23 wastewater Composite 110 5000
## 24 wastewater Composite 110 5000
## 25 wastewater Composite 110 5000
## 26 wastewater Composite 110 5000
## 27 wastewater Composite 110 5000
## 28 wastewater Composite 110 5000
## 29 wastewater Composite 110 5000
## 30 anchovy otter trawl/cast net 25 5000
## 31 anchovy otter trawl/cast net 25 5000
## 32 anchovy otter trawl/cast net 25 5000
## 33 topsmelt otter trawl/cast net 25 5000
## 34 topsmelt otter trawl/cast net 25 5000
## 35 topsmelt otter trawl/cast net 25 5000
## 36 topsmelt otter trawl/cast net 25 5000
## 37 anchovy otter trawl/cast net 25 5000
## 38 topsmelt otter trawl/cast net 25 5000
## 39 topsmelt otter trawl/cast net 25 5000
## 40 topsmelt otter trawl/cast net 25 5000
## 41 topsmelt otter trawl/cast net 25 5000
## 42 topsmelt otter trawl/cast net 25 5000
## 43 topsmelt otter trawl/cast net 25 5000
## 44 anchovy otter trawl/cast net 25 5000
## 45 anchovy otter trawl/cast net 25 5000
## 46 anchovy otter trawl/cast net 25 5000
## 47 anchovy otter trawl/cast net 25 5000
## 48 anchovy otter trawl/cast net 25 5000
## 49 anchovy otter trawl/cast net 25 5000
## 50 anchovy otter trawl/cast net 25 5000
## 51 anchovy otter trawl/cast net 25 5000
## 52 anchovy otter trawl/cast net 25 5000
## 53 anchovy otter trawl/cast net 25 5000
## 54 anchovy otter trawl/cast net 25 5000
## 55 anchovy otter trawl/cast net 25 5000
## 56 anchovy otter trawl/cast net 25 5000
## 57 anchovy otter trawl/cast net 25 5000
## 58 anchovy otter trawl/cast net 25 5000
## 59 anchovy otter trawl/cast net 25 5000
## 60 anchovy otter trawl/cast net 25 5000
## 61 anchovy otter trawl/cast net 25 5000
## 62 anchovy otter trawl/cast net 25 5000
## 63 anchovy otter trawl/cast net 25 5000
## 64 topsmelt otter trawl/cast net 25 5000
## 65 topsmelt otter trawl/cast net 25 5000
## 66 topsmelt otter trawl/cast net 25 5000
## 67 topsmelt otter trawl/cast net 25 5000
## 68 topsmelt otter trawl/cast net 25 5000
## 69 topsmelt otter trawl/cast net 25 5000
## 70 topsmelt otter trawl/cast net 25 5000
## 71 topsmelt otter trawl/cast net 25 5000
## 72 topsmelt otter trawl/cast net 25 5000
## 73 topsmelt otter trawl/cast net 25 5000
## 74 topsmelt otter trawl/cast net 25 5000
## 75 topsmelt otter trawl/cast net 25 5000
## 76 topsmelt otter trawl/cast net 25 5000
## 77 topsmelt otter trawl/cast net 25 5000
## 78 topsmelt otter trawl/cast net 25 5000
## 79 topsmelt otter trawl/cast net 25 5000
## 80 topsmelt otter trawl/cast net 25 5000
## 81 topsmelt otter trawl/cast net 25 5000
## 82 topsmelt otter trawl/cast net 25 5000
## 83 topsmelt otter trawl/cast net 25 5000
## 84 anchovy otter trawl/cast net 25 5000
## 85 anchovy otter trawl/cast net 25 5000
## 86 anchovy otter trawl/cast net 25 5000
## 87 anchovy otter trawl/cast net 25 5000
## 88 anchovy otter trawl/cast net 25 5000
## 89 anchovy otter trawl/cast net 25 5000
## 90 anchovy otter trawl/cast net 25 5000
## 91 anchovy otter trawl/cast net 25 5000
## 92 anchovy otter trawl/cast net 25 5000
## 93 anchovy otter trawl/cast net 25 5000
## 94 anchovy otter trawl/cast net 25 5000
## 95 anchovy otter trawl/cast net 25 5000
## 96 anchovy otter trawl/cast net 25 5000
## 97 anchovy otter trawl/cast net 25 5000
## 98 anchovy otter trawl/cast net 25 5000
## 99 anchovy otter trawl/cast net 25 5000
## 100 anchovy otter trawl/cast net 25 5000
## 101 anchovy otter trawl/cast net 25 5000
## 102 anchovy otter trawl/cast net 25 5000
## 103 anchovy otter trawl/cast net 25 5000
## 104 topsmelt otter trawl/cast net 25 5000
## 105 topsmelt otter trawl/cast net 25 5000
## 106 topsmelt otter trawl/cast net 25 5000
## 107 topsmelt otter trawl/cast net 25 5000
## 108 topsmelt otter trawl/cast net 25 5000
## 109 topsmelt otter trawl/cast net 25 5000
## 110 topsmelt otter trawl/cast net 25 5000
## 111 topsmelt otter trawl/cast net 25 5000
## 112 anchovy otter trawl/cast net 25 5000
## 113 anchovy otter trawl/cast net 25 5000
## 114 anchovy otter trawl/cast net 25 5000
## 115 anchovy otter trawl/cast net 25 5000
## 116 anchovy otter trawl/cast net 25 5000
## 117 anchovy otter trawl/cast net 25 5000
## 118 anchovy otter trawl/cast net 25 5000
## 119 anchovy otter trawl/cast net 25 5000
## 120 anchovy otter trawl/cast net 25 5000
## 121 anchovy otter trawl/cast net 25 5000
## 122 anchovy otter trawl/cast net 25 5000
## 123 anchovy otter trawl/cast net 25 5000
## 124 anchovy otter trawl/cast net 25 5000
## 125 anchovy otter trawl/cast net 25 5000
## 126 anchovy otter trawl/cast net 25 5000
## 127 anchovy otter trawl/cast net 25 5000
## 128 anchovy otter trawl/cast net 25 5000
## 129 anchovy otter trawl/cast net 25 5000
## 130 anchovy otter trawl/cast net 25 5000
## 131 anchovy otter trawl/cast net 25 5000
## 132 topsmelt otter trawl/cast net 25 5000
## 133 topsmelt otter trawl/cast net 25 5000
## 134 topsmelt otter trawl/cast net 25 5000
## 135 topsmelt otter trawl/cast net 25 5000
## 136 topsmelt otter trawl/cast net 25 5000
## 137 topsmelt otter trawl/cast net 25 5000
## 138 topsmelt otter trawl/cast net 25 5000
## 139 topsmelt otter trawl/cast net 25 5000
## 140 topsmelt otter trawl/cast net 25 5000
## 141 topsmelt otter trawl/cast net 25 5000
## 142 anchovy otter trawl/cast net 25 5000
## 143 anchovy otter trawl/cast net 25 5000
## 144 anchovy otter trawl/cast net 25 5000
## 145 anchovy otter trawl/cast net 25 5000
## 146 anchovy otter trawl/cast net 25 5000
## 147 anchovy otter trawl/cast net 25 5000
## 148 anchovy otter trawl/cast net 25 5000
## 149 anchovy otter trawl/cast net 25 5000
## 150 anchovy otter trawl/cast net 25 5000
## 151 anchovy otter trawl/cast net 25 5000
## 152 topsmelt otter trawl/cast net 25 5000
## 153 topsmelt otter trawl/cast net 25 5000
## 154 topsmelt otter trawl/cast net 25 5000
## 155 topsmelt otter trawl/cast net 25 5000
## 156 topsmelt otter trawl/cast net 25 5000
## 157 topsmelt otter trawl/cast net 25 5000
## 158 topsmelt otter trawl/cast net 25 5000
## 159 topsmelt otter trawl/cast net 25 5000
## 160 topsmelt otter trawl/cast net 25 5000
## 161 topsmelt otter trawl/cast net 25 5000
## 162 topsmelt otter trawl/cast net 25 5000
## 163 topsmelt otter trawl/cast net 25 5000
## 164 topsmelt otter trawl/cast net 25 5000
## 165 topsmelt otter trawl/cast net 25 5000
## 166 topsmelt otter trawl/cast net 25 5000
## 167 topsmelt otter trawl/cast net 25 5000
## 168 topsmelt otter trawl/cast net 25 5000
## 169 topsmelt otter trawl/cast net 25 5000
## 170 topsmelt otter trawl/cast net 25 5000
## 171 topsmelt otter trawl/cast net 25 5000
## 172 topsmelt otter trawl/cast net 25 5000
## 173 topsmelt otter trawl/cast net 25 5000
## 174 topsmelt otter trawl/cast net 25 5000
## 175 topsmelt otter trawl/cast net 25 5000
## 176 topsmelt otter trawl/cast net 25 5000
## 177 topsmelt otter trawl/cast net 25 5000
## 178 topsmelt otter trawl/cast net 25 5000
## 179 topsmelt otter trawl/cast net 25 5000
## 180 topsmelt otter trawl/cast net 25 5000
## 181 topsmelt otter trawl/cast net 25 5000
## 182 sediment Van Veen Grab 45 5000
## 183 sediment Van Veen Grab 45 5000
## 184 sediment Van Veen Grab 45 5000
## 185 sediment Van Veen Grab 45 5000
## 186 sediment Van Veen Grab 45 5000
## 187 sediment Van Veen Grab 45 5000
## 188 sediment Van Veen Grab 45 5000
## 189 sediment Van Veen Grab 45 5000
## 190 sediment Van Veen Grab 45 5000
## 191 sediment Van Veen Grab 45 5000
## 192 sediment Van Veen Grab 45 5000
## 193 sediment Van Veen Grab 45 5000
## 194 sediment Van Veen Grab 45 5000
## 195 sediment Van Veen Grab 45 5000
## 196 sediment Van Veen Grab 45 5000
## 197 sediment Van Veen Grab 45 5000
## 198 sediment Van Veen Grab 45 5000
## 199 sediment Van Veen Grab 45 5000
## 200 sediment Van Veen Grab 45 5000
## 201 sediment Van Veen Grab 45 5000
## 202 surface water Manta Trawl 333 5000
## 203 surface water Manta Trawl 333 5000
## 204 surface water Manta Trawl 333 5000
## 205 surface water Manta Trawl 333 5000
## 206 surface water Manta Trawl 333 5000
## 207 surface water Manta Trawl 333 5000
## 208 surface water Manta Trawl 333 5000
## 209 surface water Manta Trawl 333 5000
## 210 surface water Manta Trawl 333 5000
## 211 surface water Manta Trawl 333 5000
## 212 surface water Manta Trawl 333 5000
## 213 surface water Manta Trawl 333 5000
## 214 surface water Manta Trawl 333 5000
## 215 surface water Manta Trawl 333 5000
## 216 surface water Manta Trawl 333 5000
## 217 surface water Manta Trawl 333 5000
## 218 surface water Manta Trawl 333 5000
## 219 surface water Manta Trawl 333 5000
## 220 surface water Manta Trawl 333 5000
## 221 surface water Manta Trawl 333 5000
## 222 surface water Manta Trawl 333 5000
## 223 surface water Manta Trawl 333 5000
## 224 surface water Manta Trawl 333 5000
## 225 surface water Manta Trawl 333 5000
## 226 surface water Manta Trawl 333 5000
## 227 surface water Manta Trawl 333 5000
## 228 surface water Manta Trawl 333 5000
## 229 surface water Manta Trawl 333 5000
## 230 surface water Manta Trawl 333 5000
## 231 surface water Manta Trawl 333 5000
## 232 surface water Manta Trawl 333 5000
## 233 surface water Manta Trawl 333 5000
## 234 surface water Manta Trawl 333 5000
## 235 surface water Manta Trawl 333 5000
## 236 surface water Manta Trawl 333 5000
## 237 surface water Manta Trawl 333 5000
## 238 surface water Manta Trawl 333 5000
## 239 surface water Manta Trawl 333 5000
## 240 surface water Manta Trawl 333 5000
## 241 surface water Manta Trawl 333 5000
## 242 surface water Manta Trawl 333 5000
## 243 surface water Manta Trawl 333 5000
## 244 surface water Manta Trawl 333 5000
## 245 surface water Manta Trawl 333 5000
## 246 surface water Manta Trawl 333 5000
## 247 surface water Manta Trawl 333 5000
## 248 surface water Manta Trawl 333 5000
## 249 surface water Manta Trawl 333 5000
## 250 surface water Manta Trawl 333 5000
## 251 surface water Manta Trawl 333 5000
## 252 surface water Manta Trawl 333 5000
## 253 surface water Manta Trawl 333 5000
## 254 surface water Manta Trawl 333 5000
## 255 surface water Manta Trawl 333 5000
## 256 surface water Manta Trawl 333 5000
## 257 surface water Manta Trawl 333 5000
## 258 surface water Manta Trawl 333 5000
## 259 surface water Manta Trawl 333 5000
## 260 surface water Manta Trawl 333 5000
## 261 surface water Manta Trawl 333 5000
## 262 surface water Manta Trawl 333 5000
## 263 surface water Manta Trawl 333 5000
## 264 surface water Manta Trawl 333 5000
## 265 surface water Manta Trawl 333 5000
## 266 surface water Manta Trawl 333 5000
## 267 surface water 1-L grab 50 5000
## 268 surface water 1-L grab 50 5000
## 269 surface water 1-L grab 50 5000
## 270 surface water 1-L grab 50 5000
## 271 surface water 1-L grab 50 5000
## 272 surface water 1-L grab 50 5000
## 273 surface water 1-L grab 50 5000
## 274 surface water 1-L grab 50 5000
## 275 surface water 1-L grab 50 5000
## 276 surface water 1-L grab 50 5000
## 277 surface water 1-L grab 50 5000
## 278 surface water 1-L grab 50 5000
## 279 surface water 1-L grab 50 5000
## 280 surface water 1-L grab 50 5000
## 281 surface water 1-L grab 50 5000
## 282 surface water 1-L grab 50 5000
## 283 surface water 1-L grab 50 5000
## 284 surface water 1-L grab 50 5000
## 285 surface water 1-L grab 50 5000
## 286 surface water 1-L grab 50 5000
## 287 surface water 1-L grab 50 5000
## 288 surface water 1-L grab 50 5000
## 289 surface water 1-L grab 50 5000
## 290 surface water 1-L grab 50 5000
## 291 surface water 1-L grab 50 5000
## 292 surface water 1-L grab 50 5000
## 293 surface water 1-L grab 50 5000
## 294 surface water 1-L grab 50 5000
## 295 surface water 1-L grab 50 5000
## 296 surface water 1-L grab 50 5000
## 297 surface water 1-L grab 50 5000
## 298 surface water 1-L grab 50 5000
## 299 surface water 1-L grab 50 5000
## 300 surface water 1-L grab 50 5000
## 301 surface water 1-L grab 50 5000
## 302 surface water 1-L grab 50 5000
## 303 surface water 1-L grab 50 5000
## 304 surface water 1-L grab 50 5000
## 305 surface water 1-L grab 50 5000
## 306 surface water 1-L grab 50 5000
## 307 surface water 1-L grab 50 5000
## 308 surface water 1-L grab 50 5000
## 309 surface water 1-L grab 50 5000
## 310 surface water 1-L grab 50 5000
## 311 surface water 1-L grab 50 5000
## 312 surface water 1-L grab 50 5000
## 313 surface water 1-L grab 50 5000
## 314 surface water 1-L grab 50 5000
## 315 surface water 1-L grab 50 5000
## Sample.Type season fiber.correction.factor fiber.correction.factor.sd
## 1 sample <NA> 1.000000 NA
## 2 sample <NA> 1.000000 NA
## 3 sample <NA> 1.000000 NA
## 4 sample <NA> 1.000000 NA
## 5 sample <NA> 1.000000 NA
## 6 sample <NA> 1.000000 NA
## 7 sample <NA> 1.000000 NA
## 8 sample <NA> 1.000000 NA
## 9 sample <NA> 1.000000 NA
## 10 sample <NA> 1.000000 NA
## 11 sample <NA> 1.000000 NA
## 12 sample <NA> 1.000000 NA
## 13 sample dry 1.000000 NA
## 14 sample dry 1.000000 NA
## 15 sample dry 1.000000 NA
## 16 sample dry 1.000000 NA
## 17 sample dry 1.000000 NA
## 18 sample <NA> 1.000000 NA
## 19 sample dry 1.000000 NA
## 20 sample dry 1.000000 NA
## 21 sample dry 1.000000 NA
## 22 sample dry 1.000000 NA
## 23 sample dry 1.000000 NA
## 24 sample dry 1.000000 NA
## 25 sample <NA> 1.000000 NA
## 26 sample wet 1.000000 NA
## 27 sample wet 1.000000 NA
## 28 sample <NA> 1.000000 NA
## 29 sample wet 1.000000 NA
## 30 sample <NA> 1.000000 NA
## 31 sample <NA> 1.000000 NA
## 32 sample <NA> 1.000000 NA
## 33 sample <NA> 1.000000 NA
## 34 sample <NA> 1.000000 NA
## 35 sample <NA> 1.000000 NA
## 36 sample <NA> 1.000000 NA
## 37 sample <NA> 1.000000 NA
## 38 sample <NA> 1.000000 NA
## 39 sample <NA> 1.000000 NA
## 40 sample <NA> 1.000000 NA
## 41 sample <NA> 1.000000 NA
## 42 sample <NA> 1.000000 NA
## 43 sample <NA> 1.000000 NA
## 44 sample <NA> 1.000000 NA
## 45 sample <NA> 1.000000 NA
## 46 sample <NA> 1.000000 NA
## 47 sample <NA> 1.000000 NA
## 48 sample <NA> 1.000000 NA
## 49 sample <NA> 1.000000 NA
## 50 sample <NA> 1.000000 NA
## 51 sample <NA> 1.000000 NA
## 52 sample <NA> 1.000000 NA
## 53 sample <NA> 1.000000 NA
## 54 sample <NA> 1.000000 NA
## 55 sample <NA> 1.000000 NA
## 56 sample <NA> 1.000000 NA
## 57 sample <NA> 1.000000 NA
## 58 sample <NA> 1.000000 NA
## 59 sample <NA> 1.000000 NA
## 60 sample <NA> 1.000000 NA
## 61 sample <NA> 1.000000 NA
## 62 sample <NA> 1.000000 NA
## 63 sample <NA> 1.000000 NA
## 64 sample <NA> 1.000000 NA
## 65 sample <NA> 1.000000 NA
## 66 sample <NA> 1.000000 NA
## 67 sample <NA> 1.000000 NA
## 68 sample <NA> 1.000000 NA
## 69 sample <NA> 1.000000 NA
## 70 sample <NA> 1.000000 NA
## 71 sample <NA> 1.000000 NA
## 72 sample <NA> 1.000000 NA
## 73 sample <NA> 1.000000 NA
## 74 sample <NA> 1.000000 NA
## 75 sample <NA> 1.000000 NA
## 76 sample <NA> 1.000000 NA
## 77 sample <NA> 1.000000 NA
## 78 sample <NA> 1.000000 NA
## 79 sample <NA> 1.000000 NA
## 80 sample <NA> 1.000000 NA
## 81 sample <NA> 1.000000 NA
## 82 sample <NA> 1.000000 NA
## 83 sample <NA> 1.000000 NA
## 84 sample <NA> 1.000000 NA
## 85 sample <NA> 1.000000 NA
## 86 sample <NA> 1.000000 NA
## 87 sample <NA> 1.000000 NA
## 88 sample <NA> 1.000000 NA
## 89 sample <NA> 1.000000 NA
## 90 sample <NA> 1.000000 NA
## 91 sample <NA> 1.000000 NA
## 92 sample <NA> 1.000000 NA
## 93 sample <NA> 1.000000 NA
## 94 sample <NA> 1.000000 NA
## 95 sample <NA> 1.000000 NA
## 96 sample <NA> 1.000000 NA
## 97 sample <NA> 1.000000 NA
## 98 sample <NA> 1.000000 NA
## 99 sample <NA> 1.000000 NA
## 100 sample <NA> 1.000000 NA
## 101 sample <NA> 1.000000 NA
## 102 sample <NA> 1.000000 NA
## 103 sample <NA> 1.000000 NA
## 104 sample <NA> 1.000000 NA
## 105 sample <NA> 1.000000 NA
## 106 sample <NA> 1.000000 NA
## 107 sample <NA> 1.000000 NA
## 108 sample <NA> 1.000000 NA
## 109 sample <NA> 1.000000 NA
## 110 sample <NA> 1.000000 NA
## 111 sample <NA> 1.000000 NA
## 112 sample <NA> 1.000000 NA
## 113 sample <NA> 1.000000 NA
## 114 sample <NA> 1.000000 NA
## 115 sample <NA> 1.000000 NA
## 116 sample <NA> 1.000000 NA
## 117 sample <NA> 1.000000 NA
## 118 sample <NA> 1.000000 NA
## 119 sample <NA> 1.000000 NA
## 120 sample <NA> 1.000000 NA
## 121 sample <NA> 1.000000 NA
## 122 sample <NA> 1.000000 NA
## 123 sample <NA> 1.000000 NA
## 124 sample <NA> 1.000000 NA
## 125 sample <NA> 1.000000 NA
## 126 sample <NA> 1.000000 NA
## 127 sample <NA> 1.000000 NA
## 128 sample <NA> 1.000000 NA
## 129 sample <NA> 1.000000 NA
## 130 sample <NA> 1.000000 NA
## 131 sample <NA> 1.000000 NA
## 132 sample <NA> 1.000000 NA
## 133 sample <NA> 1.000000 NA
## 134 sample <NA> 1.000000 NA
## 135 sample <NA> 1.000000 NA
## 136 sample <NA> 1.000000 NA
## 137 sample <NA> 1.000000 NA
## 138 sample <NA> 1.000000 NA
## 139 sample <NA> 1.000000 NA
## 140 sample <NA> 1.000000 NA
## 141 sample <NA> 1.000000 NA
## 142 sample <NA> 1.000000 NA
## 143 sample <NA> 1.000000 NA
## 144 sample <NA> 1.000000 NA
## 145 sample <NA> 1.000000 NA
## 146 sample <NA> 1.000000 NA
## 147 sample <NA> 1.000000 NA
## 148 sample <NA> 1.000000 NA
## 149 sample <NA> 1.000000 NA
## 150 sample <NA> 1.000000 NA
## 151 sample <NA> 1.000000 NA
## 152 sample <NA> 1.000000 NA
## 153 sample <NA> 1.000000 NA
## 154 sample <NA> 1.000000 NA
## 155 sample <NA> 1.000000 NA
## 156 sample <NA> 1.000000 NA
## 157 sample <NA> 1.000000 NA
## 158 sample <NA> 1.000000 NA
## 159 sample <NA> 1.000000 NA
## 160 sample <NA> 1.000000 NA
## 161 sample <NA> 1.000000 NA
## 162 sample <NA> 1.000000 NA
## 163 sample <NA> 1.000000 NA
## 164 sample <NA> 1.000000 NA
## 165 sample <NA> 1.000000 NA
## 166 sample <NA> 1.000000 NA
## 167 sample <NA> 1.000000 NA
## 168 sample <NA> 1.000000 NA
## 169 sample <NA> 1.000000 NA
## 170 sample <NA> 1.000000 NA
## 171 sample <NA> 1.000000 NA
## 172 sample <NA> 1.000000 NA
## 173 sample <NA> 1.000000 NA
## 174 sample <NA> 1.000000 NA
## 175 sample <NA> 1.000000 NA
## 176 sample <NA> 1.000000 NA
## 177 sample <NA> 1.000000 NA
## 178 sample <NA> 1.000000 NA
## 179 sample <NA> 1.000000 NA
## 180 sample <NA> 1.000000 NA
## 181 sample <NA> 1.000000 NA
## 182 sample <NA> 1.000000 NA
## 183 sample <NA> 1.000000 NA
## 184 sample <NA> 1.000000 NA
## 185 sample <NA> 1.000000 NA
## 186 sample <NA> 1.000000 NA
## 187 sample <NA> 1.000000 NA
## 188 sample <NA> 1.000000 NA
## 189 sample <NA> 1.000000 NA
## 190 sample <NA> 1.000000 NA
## 191 sample <NA> 1.000000 NA
## 192 sample <NA> 1.000000 NA
## 193 sample <NA> 1.000000 NA
## 194 sample <NA> 1.000000 NA
## 195 sample <NA> 1.000000 NA
## 196 sample <NA> 1.000000 NA
## 197 sample <NA> 1.000000 NA
## 198 sample <NA> 1.000000 NA
## 199 sample <NA> 1.000000 NA
## 200 sample <NA> 1.000000 NA
## 201 sample <NA> 1.000000 NA
## 202 sample dry 4.598399 1.393976
## 203 sample wet 4.598399 1.393976
## 204 sample dry 4.598399 1.393976
## 205 sample wet 4.598399 1.393976
## 206 sample wet 4.598399 1.393976
## 207 sample dry 4.598399 1.393976
## 208 sample wet 4.598399 1.393976
## 209 sample dry 4.598399 1.393976
## 210 sample wet 4.598399 1.393976
## 211 sample dry 4.598399 1.393976
## 212 sample wet 4.598399 1.393976
## 213 sample dry 4.598399 1.393976
## 214 sample wet 4.598399 1.393976
## 215 sample wet 4.598399 1.393976
## 216 sample dry 4.598399 1.393976
## 217 sample wet 4.598399 1.393976
## 218 sample dry 4.598399 1.393976
## 219 sample dry 4.598399 1.393976
## 220 sample wet 4.598399 1.393976
## 221 sample wet 4.598399 1.393976
## 222 sample dry 4.598399 1.393976
## 223 sample wet 4.598399 1.393976
## 224 sample dry 4.598399 1.393976
## 225 sample wet 4.598399 1.393976
## 226 sample dry 4.598399 1.393976
## 227 sample wet 4.598399 1.393976
## 228 sample dry 4.598399 1.393976
## 229 sample dry 4.598399 1.393976
## 230 sample wet 4.598399 1.393976
## 231 sample dry 4.598399 1.393976
## 232 sample wet 4.598399 1.393976
## 233 sample dry 4.598399 1.393976
## 234 sample wet 4.598399 1.393976
## 235 sample wet 4.598399 1.393976
## 236 sample wet 4.598399 1.393976
## 237 sample wet 4.598399 1.393976
## 238 sample dry 4.598399 1.393976
## 239 sample wet 4.598399 1.393976
## 240 sample dry 4.598399 1.393976
## 241 sample wet 4.598399 1.393976
## 242 sample dry 4.598399 1.393976
## 243 sample wet 4.598399 1.393976
## 244 sample dry 4.598399 1.393976
## 245 sample dry 4.598399 1.393976
## 246 sample wet 4.598399 1.393976
## 247 sample dry 4.598399 1.393976
## 248 sample wet 4.598399 1.393976
## 249 sample dry 4.598399 1.393976
## 250 sample wet 4.598399 1.393976
## 251 sample dry 4.598399 1.393976
## 252 sample wet 4.598399 1.393976
## 253 sample dry 4.598399 1.393976
## 254 sample dry 4.598399 1.393976
## 255 sample dry 4.598399 1.393976
## 256 sample dry 4.598399 1.393976
## 257 sample wet 4.598399 1.393976
## 258 sample wet 4.598399 1.393976
## 259 sample dry 4.598399 1.393976
## 260 sample dry 4.598399 1.393976
## 261 sample wet 4.598399 1.393976
## 262 sample wet 4.598399 1.393976
## 263 sample dry 4.598399 1.393976
## 264 sample dry 4.598399 1.393976
## 265 sample wet 4.598399 1.393976
## 266 sample wet 4.598399 1.393976
## 267 sample dry 1.000000 NA
## 268 sample wet 1.000000 NA
## 269 sample dry 1.000000 NA
## 270 sample wet 1.000000 NA
## 271 sample dry 1.000000 NA
## 272 sample wet 1.000000 NA
## 273 sample dry 1.000000 NA
## 274 sample wet 1.000000 NA
## 275 sample dry 1.000000 NA
## 276 sample wet 1.000000 NA
## 277 sample dry 1.000000 NA
## 278 sample wet 1.000000 NA
## 279 sample dry 1.000000 NA
## 280 sample dry 1.000000 NA
## 281 sample dry 1.000000 NA
## 282 sample wet 1.000000 NA
## 283 sample wet 1.000000 NA
## 284 sample dry 1.000000 NA
## 285 sample dry 1.000000 NA
## 286 sample dry 1.000000 NA
## 287 sample dry 1.000000 NA
## 288 sample wet 1.000000 NA
## 289 sample wet 1.000000 NA
## 290 sample dry 1.000000 NA
## 291 sample wet 1.000000 NA
## 292 sample wet 1.000000 NA
## 293 sample wet 1.000000 NA
## 294 sample wet 1.000000 NA
## 295 sample wet 1.000000 NA
## 296 sample dry 1.000000 NA
## 297 sample wet 1.000000 NA
## 298 sample dry 1.000000 NA
## 299 sample wet 1.000000 NA
## 300 sample dry 1.000000 NA
## 301 sample wet 1.000000 NA
## 302 sample dry 1.000000 NA
## 303 sample dry 1.000000 NA
## 304 sample wet 1.000000 NA
## 305 sample dry 1.000000 NA
## 306 sample wet 1.000000 NA
## 307 sample wet 1.000000 NA
## 308 sample dry 1.000000 NA
## 309 sample wet 1.000000 NA
## 310 sample dry 1.000000 NA
## 311 sample wet 1.000000 NA
## 312 sample dry 1.000000 NA
## 313 sample wet 1.000000 NA
## 314 sample dry 1.000000 NA
## 315 sample wet 1.000000 NA
## fiber.correction.factor.n particles.L.blank.corrected.fiber.corrected
## 1 NA 1.630000e+00
## 2 NA 1.650000e+00
## 3 NA 7.200000e+00
## 4 NA 5.630000e+00
## 5 NA 4.940000e+00
## 6 NA 8.430000e+00
## 7 NA 1.006000e+01
## 8 NA 2.310000e+00
## 9 NA 1.090000e+00
## 10 NA 1.784000e+01
## 11 NA 1.236000e+01
## 12 NA 2.441000e+01
## 13 NA 6.450000e-02
## 14 NA 1.150000e-02
## 15 NA 1.778000e-01
## 16 NA 4.210000e-02
## 17 NA 3.000000e-03
## 18 NA 5.400000e-03
## 19 NA 1.860000e-02
## 20 NA 2.330000e-02
## 21 NA 2.220000e-02
## 22 NA 7.780000e-02
## 23 NA 3.700000e-03
## 24 NA 5.500000e-03
## 25 NA 1.083000e-01
## 26 NA 1.593000e-01
## 27 NA 1.816000e-01
## 28 NA 7.500000e-03
## 29 NA 6.830000e-02
## 30 NA NA
## 31 NA NA
## 32 NA NA
## 33 NA NA
## 34 NA NA
## 35 NA NA
## 36 NA NA
## 37 NA NA
## 38 NA NA
## 39 NA NA
## 40 NA NA
## 41 NA NA
## 42 NA NA
## 43 NA NA
## 44 NA NA
## 45 NA NA
## 46 NA NA
## 47 NA NA
## 48 NA NA
## 49 NA NA
## 50 NA NA
## 51 NA NA
## 52 NA NA
## 53 NA NA
## 54 NA NA
## 55 NA NA
## 56 NA NA
## 57 NA NA
## 58 NA NA
## 59 NA NA
## 60 NA NA
## 61 NA NA
## 62 NA NA
## 63 NA NA
## 64 NA NA
## 65 NA NA
## 66 NA NA
## 67 NA NA
## 68 NA NA
## 69 NA NA
## 70 NA NA
## 71 NA NA
## 72 NA NA
## 73 NA NA
## 74 NA NA
## 75 NA NA
## 76 NA NA
## 77 NA NA
## 78 NA NA
## 79 NA NA
## 80 NA NA
## 81 NA NA
## 82 NA NA
## 83 NA NA
## 84 NA NA
## 85 NA NA
## 86 NA NA
## 87 NA NA
## 88 NA NA
## 89 NA NA
## 90 NA NA
## 91 NA NA
## 92 NA NA
## 93 NA NA
## 94 NA NA
## 95 NA NA
## 96 NA NA
## 97 NA NA
## 98 NA NA
## 99 NA NA
## 100 NA NA
## 101 NA NA
## 102 NA NA
## 103 NA NA
## 104 NA NA
## 105 NA NA
## 106 NA NA
## 107 NA NA
## 108 NA NA
## 109 NA NA
## 110 NA NA
## 111 NA NA
## 112 NA NA
## 113 NA NA
## 114 NA NA
## 115 NA NA
## 116 NA NA
## 117 NA NA
## 118 NA NA
## 119 NA NA
## 120 NA NA
## 121 NA NA
## 122 NA NA
## 123 NA NA
## 124 NA NA
## 125 NA NA
## 126 NA NA
## 127 NA NA
## 128 NA NA
## 129 NA NA
## 130 NA NA
## 131 NA NA
## 132 NA NA
## 133 NA NA
## 134 NA NA
## 135 NA NA
## 136 NA NA
## 137 NA NA
## 138 NA NA
## 139 NA NA
## 140 NA NA
## 141 NA NA
## 142 NA NA
## 143 NA NA
## 144 NA NA
## 145 NA NA
## 146 NA NA
## 147 NA NA
## 148 NA NA
## 149 NA NA
## 150 NA NA
## 151 NA NA
## 152 NA NA
## 153 NA NA
## 154 NA NA
## 155 NA NA
## 156 NA NA
## 157 NA NA
## 158 NA NA
## 159 NA NA
## 160 NA NA
## 161 NA NA
## 162 NA NA
## 163 NA NA
## 164 NA NA
## 165 NA NA
## 166 NA NA
## 167 NA NA
## 168 NA NA
## 169 NA NA
## 170 NA NA
## 171 NA NA
## 172 NA NA
## 173 NA NA
## 174 NA NA
## 175 NA NA
## 176 NA NA
## 177 NA NA
## 178 NA NA
## 179 NA NA
## 180 NA NA
## 181 NA NA
## 182 NA NA
## 183 NA NA
## 184 NA NA
## 185 NA NA
## 186 NA NA
## 187 NA NA
## 188 NA NA
## 189 NA NA
## 190 NA NA
## 191 NA NA
## 192 NA NA
## 193 NA NA
## 194 NA NA
## 195 NA NA
## 196 NA NA
## 197 NA NA
## 198 NA NA
## 199 NA NA
## 200 NA NA
## 201 NA NA
## 202 9 1.057632e-04
## 203 9 2.811461e-02
## 204 9 2.018697e-03
## 205 9 8.681777e-03
## 206 9 2.349782e-03
## 207 9 3.816671e-04
## 208 9 2.133657e-03
## 209 9 3.559161e-03
## 210 9 3.352233e-03
## 211 9 1.041537e-02
## 212 9 1.997085e-02
## 213 9 8.644990e-04
## 214 9 2.556296e-01
## 215 9 4.046591e-04
## 216 9 7.495391e-04
## 217 9 5.793983e-04
## 218 9 6.391775e-04
## 219 9 0.000000e+00
## 220 9 1.057632e-04
## 221 9 1.002451e-03
## 222 9 9.196798e-05
## 223 9 3.632735e-04
## 224 9 6.391775e-04
## 225 9 3.586751e-04
## 226 9 2.299200e-05
## 227 9 4.414463e-04
## 228 9 2.575103e-04
## 229 9 4.515628e-03
## 230 9 1.223174e-03
## 231 9 1.641628e-03
## 232 9 1.140403e-03
## 233 9 7.035551e-04
## 234 9 2.372774e-03
## 235 9 1.820966e-03
## 236 9 1.351929e-03
## 237 9 1.255363e-03
## 238 9 8.736958e-05
## 239 9 1.747392e-04
## 240 9 3.126911e-04
## 241 9 2.483136e-04
## 242 9 1.747392e-04
## 243 9 3.126911e-04
## 244 9 1.103616e-04
## 245 9 5.150207e-04
## 246 9 1.085222e-03
## 247 9 8.323102e-04
## 248 9 1.197883e-02
## 249 9 5.885951e-04
## 250 9 2.244019e-03
## 251 9 1.333076e-02
## 252 9 6.364184e-03
## 253 9 1.958918e-03
## 254 9 1.958918e-03
## 255 9 2.713055e-04
## 256 9 2.713055e-04
## 257 9 4.230527e-04
## 258 9 4.230527e-04
## 259 9 2.929180e-03
## 260 9 2.929180e-03
## 261 9 6.479144e-03
## 262 9 6.479144e-03
## 263 9 3.724703e-04
## 264 9 3.724703e-04
## 265 9 6.023903e-04
## 266 9 6.023903e-04
## 267 NA 3.465347e+00
## 268 NA 2.734878e+00
## 269 NA 7.433102e+00
## 270 NA 6.277464e-01
## 271 NA 1.950959e+00
## 272 NA 4.984424e+00
## 273 NA 2.325107e+00
## 274 NA 1.582779e+00
## 275 NA 2.703562e+00
## 276 NA 2.551020e+00
## 277 NA 6.578947e+00
## 278 NA 1.871102e+01
## 279 NA 3.000000e+00
## 280 NA 1.640420e+00
## 281 NA 8.671523e+00
## 282 NA 6.523157e-01
## 283 NA 0.000000e+00
## 284 NA 1.811594e+00
## 285 NA 7.095745e-01
## 286 NA 1.262626e+00
## 287 NA 3.664755e+00
## 288 NA 3.098500e+00
## 289 NA 1.279591e+00
## 290 NA 7.619048e+00
## 291 NA 2.412281e+00
## 292 NA 1.357323e+01
## 293 NA 2.383222e+00
## 294 NA 9.433962e-01
## 295 NA 3.570315e+01
## 296 NA 2.252599e+00
## 297 NA 2.202268e+00
## 298 NA 1.605652e+00
## 299 NA 4.269450e+00
## 300 NA 3.502069e+00
## 301 NA 1.876590e+01
## 302 NA 6.298450e+00
## 303 NA 9.980040e-01
## 304 NA 6.144393e+00
## 305 NA 3.346080e+00
## 306 NA 1.595745e+00
## 307 NA 2.666667e+00
## 308 NA 4.338395e+00
## 309 NA 9.931383e+00
## 310 NA 3.333333e+00
## 311 NA 2.833333e+00
## 312 NA 5.086072e+00
## 313 NA 5.243089e+00
## 314 NA 2.764613e+00
## 315 NA 4.427577e+00
## locationNew matrix
## 1 general Storm
## 2 general Storm
## 3 general Storm
## 4 general Storm
## 5 general Storm
## 6 general Storm
## 7 general Storm
## 8 general Storm
## 9 general Storm
## 10 general Storm
## 11 general Storm
## 12 general Storm
## 13 general WWTP
## 14 general WWTP
## 15 general WWTP
## 16 general WWTP
## 17 general WWTP
## 18 general WWTP
## 19 general WWTP
## 20 general WWTP
## 21 general WWTP
## 22 general WWTP
## 23 general WWTP
## 24 general WWTP
## 25 general WWTP
## 26 general WWTP
## 27 general WWTP
## 28 general WWTP
## 29 general WWTP
## 30 Lower South Bay Fish
## 31 Lower South Bay Fish
## 32 Lower South Bay Fish
## 33 Lower South Bay Fish
## 34 Lower South Bay Fish
## 35 Lower South Bay Fish
## 36 Lower South Bay Fish
## 37 Lower South Bay Fish
## 38 Lower South Bay Fish
## 39 Lower South Bay Fish
## 40 Lower South Bay Fish
## 41 Lower South Bay Fish
## 42 Lower South Bay Fish
## 43 Lower South Bay Fish
## 44 Tomales Bay Fish
## 45 Tomales Bay Fish
## 46 Tomales Bay Fish
## 47 Tomales Bay Fish
## 48 Tomales Bay Fish
## 49 Tomales Bay Fish
## 50 Tomales Bay Fish
## 51 Tomales Bay Fish
## 52 Tomales Bay Fish
## 53 Tomales Bay Fish
## 54 Tomales Bay Fish
## 55 Tomales Bay Fish
## 56 Tomales Bay Fish
## 57 Tomales Bay Fish
## 58 Tomales Bay Fish
## 59 Tomales Bay Fish
## 60 Tomales Bay Fish
## 61 Tomales Bay Fish
## 62 Tomales Bay Fish
## 63 Tomales Bay Fish
## 64 Tomales Bay Fish
## 65 Tomales Bay Fish
## 66 Tomales Bay Fish
## 67 Tomales Bay Fish
## 68 Tomales Bay Fish
## 69 Tomales Bay Fish
## 70 Tomales Bay Fish
## 71 Tomales Bay Fish
## 72 Tomales Bay Fish
## 73 Tomales Bay Fish
## 74 Central Bay Fish
## 75 Central Bay Fish
## 76 Central Bay Fish
## 77 Central Bay Fish
## 78 Central Bay Fish
## 79 Central Bay Fish
## 80 Central Bay Fish
## 81 Central Bay Fish
## 82 Central Bay Fish
## 83 Central Bay Fish
## 84 Central Bay Fish
## 85 Central Bay Fish
## 86 Central Bay Fish
## 87 Central Bay Fish
## 88 Central Bay Fish
## 89 Central Bay Fish
## 90 Central Bay Fish
## 91 Central Bay Fish
## 92 Central Bay Fish
## 93 Central Bay Fish
## 94 Central Bay Fish
## 95 Central Bay Fish
## 96 Central Bay Fish
## 97 Central Bay Fish
## 98 Central Bay Fish
## 99 Central Bay Fish
## 100 Central Bay Fish
## 101 Central Bay Fish
## 102 Central Bay Fish
## 103 Central Bay Fish
## 104 Central Bay Fish
## 105 Central Bay Fish
## 106 Central Bay Fish
## 107 Central Bay Fish
## 108 Central Bay Fish
## 109 Central Bay Fish
## 110 Central Bay Fish
## 111 Central Bay Fish
## 112 general Fish
## 113 general Fish
## 114 general Fish
## 115 general Fish
## 116 general Fish
## 117 general Fish
## 118 general Fish
## 119 general Fish
## 120 general Fish
## 121 general Fish
## 122 South Bay Fish
## 123 South Bay Fish
## 124 South Bay Fish
## 125 South Bay Fish
## 126 South Bay Fish
## 127 South Bay Fish
## 128 South Bay Fish
## 129 South Bay Fish
## 130 South Bay Fish
## 131 South Bay Fish
## 132 South Bay Fish
## 133 South Bay Fish
## 134 South Bay Fish
## 135 South Bay Fish
## 136 South Bay Fish
## 137 South Bay Fish
## 138 South Bay Fish
## 139 South Bay Fish
## 140 South Bay Fish
## 141 South Bay Fish
## 142 Central Bay Fish
## 143 Central Bay Fish
## 144 Central Bay Fish
## 145 Central Bay Fish
## 146 Central Bay Fish
## 147 Central Bay Fish
## 148 Central Bay Fish
## 149 Central Bay Fish
## 150 Central Bay Fish
## 151 Central Bay Fish
## 152 Central Bay Fish
## 153 Central Bay Fish
## 154 Central Bay Fish
## 155 Central Bay Fish
## 156 Central Bay Fish
## 157 Central Bay Fish
## 158 Central Bay Fish
## 159 Central Bay Fish
## 160 Central Bay Fish
## 161 Central Bay Fish
## 162 general Fish
## 163 general Fish
## 164 general Fish
## 165 general Fish
## 166 general Fish
## 167 general Fish
## 168 general Fish
## 169 general Fish
## 170 general Fish
## 171 general Fish
## 172 Tomales Bay Fish
## 173 Tomales Bay Fish
## 174 Tomales Bay Fish
## 175 Tomales Bay Fish
## 176 Tomales Bay Fish
## 177 Tomales Bay Fish
## 178 Tomales Bay Fish
## 179 Tomales Bay Fish
## 180 Tomales Bay Fish
## 181 Tomales Bay Fish
## 182 general Sediment
## 183 Central Bay Sediment
## 184 Central Bay Sediment
## 185 Central Bay Sediment
## 186 Central Bay Sediment
## 187 Lower South Bay Sediment
## 188 Lower South Bay Sediment
## 189 Lower South Bay Sediment
## 190 general Sediment
## 191 South Bay Sediment
## 192 South Bay Sediment
## 193 South Bay Sediment
## 194 general Sediment
## 195 general Sediment
## 196 general Sediment
## 197 general Sediment
## 198 general Sediment
## 199 general Sediment
## 200 Tomales Bay Sediment
## 201 Tomales Bay Sediment
## 202 Central Bay Surface (Manta Trawl)
## 203 Central Bay Surface (Manta Trawl)
## 204 Central Bay Surface (Manta Trawl)
## 205 Central Bay Surface (Manta Trawl)
## 206 Central Bay Surface (Manta Trawl)
## 207 Central Bay Surface (Manta Trawl)
## 208 Central Bay Surface (Manta Trawl)
## 209 Central Bay Surface (Manta Trawl)
## 210 Central Bay Surface (Manta Trawl)
## 211 Central Bay Surface (Manta Trawl)
## 212 Central Bay Surface (Manta Trawl)
## 213 Central Bay Surface (Manta Trawl)
## 214 Central Bay Surface (Manta Trawl)
## 215 National Marine Sanctuary Surface (Manta Trawl)
## 216 National Marine Sanctuary Surface (Manta Trawl)
## 217 National Marine Sanctuary Surface (Manta Trawl)
## 218 National Marine Sanctuary Surface (Manta Trawl)
## 219 National Marine Sanctuary Surface (Manta Trawl)
## 220 National Marine Sanctuary Surface (Manta Trawl)
## 221 National Marine Sanctuary Surface (Manta Trawl)
## 222 National Marine Sanctuary Surface (Manta Trawl)
## 223 National Marine Sanctuary Surface (Manta Trawl)
## 224 National Marine Sanctuary Surface (Manta Trawl)
## 225 National Marine Sanctuary Surface (Manta Trawl)
## 226 National Marine Sanctuary Surface (Manta Trawl)
## 227 National Marine Sanctuary Surface (Manta Trawl)
## 228 National Marine Sanctuary Surface (Manta Trawl)
## 229 Lower South Bay Surface (Manta Trawl)
## 230 Lower South Bay Surface (Manta Trawl)
## 231 Lower South Bay Surface (Manta Trawl)
## 232 Lower South Bay Surface (Manta Trawl)
## 233 Lower South Bay Surface (Manta Trawl)
## 234 Lower South Bay Surface (Manta Trawl)
## 235 National Marine Sanctuary Surface (Manta Trawl)
## 236 National Marine Sanctuary Surface (Manta Trawl)
## 237 National Marine Sanctuary Surface (Manta Trawl)
## 238 National Marine Sanctuary Surface (Manta Trawl)
## 239 National Marine Sanctuary Surface (Manta Trawl)
## 240 National Marine Sanctuary Surface (Manta Trawl)
## 241 National Marine Sanctuary Surface (Manta Trawl)
## 242 National Marine Sanctuary Surface (Manta Trawl)
## 243 National Marine Sanctuary Surface (Manta Trawl)
## 244 National Marine Sanctuary Surface (Manta Trawl)
## 245 South Bay Surface (Manta Trawl)
## 246 South Bay Surface (Manta Trawl)
## 247 South Bay Surface (Manta Trawl)
## 248 South Bay Surface (Manta Trawl)
## 249 South Bay Surface (Manta Trawl)
## 250 South Bay Surface (Manta Trawl)
## 251 South Bay Surface (Manta Trawl)
## 252 South Bay Surface (Manta Trawl)
## 253 general Surface (Manta Trawl)
## 254 general Surface (Manta Trawl)
## 255 general Surface (Manta Trawl)
## 256 general Surface (Manta Trawl)
## 257 general Surface (Manta Trawl)
## 258 general Surface (Manta Trawl)
## 259 general Surface (Manta Trawl)
## 260 general Surface (Manta Trawl)
## 261 general Surface (Manta Trawl)
## 262 general Surface (Manta Trawl)
## 263 general Surface (Manta Trawl)
## 264 general Surface (Manta Trawl)
## 265 general Surface (Manta Trawl)
## 266 general Surface (Manta Trawl)
## 267 Central Bay Surface (1L-grab)
## 268 Central Bay Surface (1L-grab)
## 269 Central Bay Surface (1L-grab)
## 270 Central Bay Surface (1L-grab)
## 271 Central Bay Surface (1L-grab)
## 272 Central Bay Surface (1L-grab)
## 273 Central Bay Surface (1L-grab)
## 274 Central Bay Surface (1L-grab)
## 275 Central Bay Surface (1L-grab)
## 276 Central Bay Surface (1L-grab)
## 277 Central Bay Surface (1L-grab)
## 278 Central Bay Surface (1L-grab)
## 279 National Marine Sanctuary Surface (1L-grab)
## 280 National Marine Sanctuary Surface (1L-grab)
## 281 National Marine Sanctuary Surface (1L-grab)
## 282 National Marine Sanctuary Surface (1L-grab)
## 283 National Marine Sanctuary Surface (1L-grab)
## 284 National Marine Sanctuary Surface (1L-grab)
## 285 National Marine Sanctuary Surface (1L-grab)
## 286 National Marine Sanctuary Surface (1L-grab)
## 287 National Marine Sanctuary Surface (1L-grab)
## 288 Lower South Bay Surface (1L-grab)
## 289 Lower South Bay Surface (1L-grab)
## 290 Lower South Bay Surface (1L-grab)
## 291 Lower South Bay Surface (1L-grab)
## 292 National Marine Sanctuary Surface (1L-grab)
## 293 National Marine Sanctuary Surface (1L-grab)
## 294 National Marine Sanctuary Surface (1L-grab)
## 295 National Marine Sanctuary Surface (1L-grab)
## 296 National Marine Sanctuary Surface (1L-grab)
## 297 National Marine Sanctuary Surface (1L-grab)
## 298 National Marine Sanctuary Surface (1L-grab)
## 299 National Marine Sanctuary Surface (1L-grab)
## 300 National Marine Sanctuary Surface (1L-grab)
## 301 National Marine Sanctuary Surface (1L-grab)
## 302 National Marine Sanctuary Surface (1L-grab)
## 303 South Bay Surface (1L-grab)
## 304 South Bay Surface (1L-grab)
## 305 South Bay Surface (1L-grab)
## 306 South Bay Surface (1L-grab)
## 307 South Bay Surface (1L-grab)
## 308 South Bay Surface (1L-grab)
## 309 South Bay Surface (1L-grab)
## 310 general Surface (1L-grab)
## 311 general Surface (1L-grab)
## 312 general Surface (1L-grab)
## 313 general Surface (1L-grab)
## 314 general Surface (1L-grab)
## 315 general Surface (1L-grab)
## locationMatrix proportion
## 1 general Storm 0.4675000
## 2 general Storm 0.4675000
## 3 general Storm 0.4675000
## 4 general Storm 0.4675000
## 5 general Storm 0.4675000
## 6 general Storm 0.4675000
## 7 general Storm 0.4675000
## 8 general Storm 0.4675000
## 9 general Storm 0.4675000
## 10 general Storm 0.4675000
## 11 general Storm 0.4675000
## 12 general Storm 0.4675000
## 13 general WWTP 0.2833333
## 14 general WWTP 0.2833333
## 15 general WWTP 0.2833333
## 16 general WWTP 0.2833333
## 17 general WWTP 0.2833333
## 18 general WWTP 0.2833333
## 19 general WWTP 0.2833333
## 20 general WWTP 0.2833333
## 21 general WWTP 0.2833333
## 22 general WWTP 0.2833333
## 23 general WWTP 0.2833333
## 24 general WWTP 0.2833333
## 25 general WWTP 0.2833333
## 26 general WWTP 0.2833333
## 27 general WWTP 0.2833333
## 28 general WWTP 0.2833333
## 29 general WWTP 0.2833333
## 30 Lower South Bay Fish 0.1500000
## 31 Lower South Bay Fish 0.1500000
## 32 Lower South Bay Fish 0.1500000
## 33 Lower South Bay Fish 0.1500000
## 34 Lower South Bay Fish 0.1500000
## 35 Lower South Bay Fish 0.1500000
## 36 Lower South Bay Fish 0.1500000
## 37 Lower South Bay Fish 0.1500000
## 38 Lower South Bay Fish 0.1500000
## 39 Lower South Bay Fish 0.1500000
## 40 Lower South Bay Fish 0.1500000
## 41 Lower South Bay Fish 0.1500000
## 42 Lower South Bay Fish 0.1500000
## 43 Lower South Bay Fish 0.1500000
## 44 Tomales Bay Fish 0.1300000
## 45 Tomales Bay Fish 0.1300000
## 46 Tomales Bay Fish 0.1300000
## 47 Tomales Bay Fish 0.1300000
## 48 Tomales Bay Fish 0.1300000
## 49 Tomales Bay Fish 0.1300000
## 50 Tomales Bay Fish 0.1300000
## 51 Tomales Bay Fish 0.1300000
## 52 Tomales Bay Fish 0.1300000
## 53 Tomales Bay Fish 0.1300000
## 54 Tomales Bay Fish 0.1300000
## 55 Tomales Bay Fish 0.1300000
## 56 Tomales Bay Fish 0.1300000
## 57 Tomales Bay Fish 0.1300000
## 58 Tomales Bay Fish 0.1300000
## 59 Tomales Bay Fish 0.1300000
## 60 Tomales Bay Fish 0.1300000
## 61 Tomales Bay Fish 0.1300000
## 62 Tomales Bay Fish 0.1300000
## 63 Tomales Bay Fish 0.1300000
## 64 Tomales Bay Fish 0.1300000
## 65 Tomales Bay Fish 0.1300000
## 66 Tomales Bay Fish 0.1300000
## 67 Tomales Bay Fish 0.1300000
## 68 Tomales Bay Fish 0.1300000
## 69 Tomales Bay Fish 0.1300000
## 70 Tomales Bay Fish 0.1300000
## 71 Tomales Bay Fish 0.1300000
## 72 Tomales Bay Fish 0.1300000
## 73 Tomales Bay Fish 0.1300000
## 74 Central Bay Fish 0.2100000
## 75 Central Bay Fish 0.2100000
## 76 Central Bay Fish 0.2100000
## 77 Central Bay Fish 0.2100000
## 78 Central Bay Fish 0.2100000
## 79 Central Bay Fish 0.2100000
## 80 Central Bay Fish 0.2100000
## 81 Central Bay Fish 0.2100000
## 82 Central Bay Fish 0.2100000
## 83 Central Bay Fish 0.2100000
## 84 Central Bay Fish 0.2100000
## 85 Central Bay Fish 0.2100000
## 86 Central Bay Fish 0.2100000
## 87 Central Bay Fish 0.2100000
## 88 Central Bay Fish 0.2100000
## 89 Central Bay Fish 0.2100000
## 90 Central Bay Fish 0.2100000
## 91 Central Bay Fish 0.2100000
## 92 Central Bay Fish 0.2100000
## 93 Central Bay Fish 0.2100000
## 94 Central Bay Fish 0.2100000
## 95 Central Bay Fish 0.2100000
## 96 Central Bay Fish 0.2100000
## 97 Central Bay Fish 0.2100000
## 98 Central Bay Fish 0.2100000
## 99 Central Bay Fish 0.2100000
## 100 Central Bay Fish 0.2100000
## 101 Central Bay Fish 0.2100000
## 102 Central Bay Fish 0.2100000
## 103 Central Bay Fish 0.2100000
## 104 Central Bay Fish 0.2100000
## 105 Central Bay Fish 0.2100000
## 106 Central Bay Fish 0.2100000
## 107 Central Bay Fish 0.2100000
## 108 Central Bay Fish 0.2100000
## 109 Central Bay Fish 0.2100000
## 110 Central Bay Fish 0.2100000
## 111 Central Bay Fish 0.2100000
## 112 general Fish 0.1775000
## 113 general Fish 0.1775000
## 114 general Fish 0.1775000
## 115 general Fish 0.1775000
## 116 general Fish 0.1775000
## 117 general Fish 0.1775000
## 118 general Fish 0.1775000
## 119 general Fish 0.1775000
## 120 general Fish 0.1775000
## 121 general Fish 0.1775000
## 122 South Bay Fish 0.2200000
## 123 South Bay Fish 0.2200000
## 124 South Bay Fish 0.2200000
## 125 South Bay Fish 0.2200000
## 126 South Bay Fish 0.2200000
## 127 South Bay Fish 0.2200000
## 128 South Bay Fish 0.2200000
## 129 South Bay Fish 0.2200000
## 130 South Bay Fish 0.2200000
## 131 South Bay Fish 0.2200000
## 132 South Bay Fish 0.2200000
## 133 South Bay Fish 0.2200000
## 134 South Bay Fish 0.2200000
## 135 South Bay Fish 0.2200000
## 136 South Bay Fish 0.2200000
## 137 South Bay Fish 0.2200000
## 138 South Bay Fish 0.2200000
## 139 South Bay Fish 0.2200000
## 140 South Bay Fish 0.2200000
## 141 South Bay Fish 0.2200000
## 142 Central Bay Fish 0.2100000
## 143 Central Bay Fish 0.2100000
## 144 Central Bay Fish 0.2100000
## 145 Central Bay Fish 0.2100000
## 146 Central Bay Fish 0.2100000
## 147 Central Bay Fish 0.2100000
## 148 Central Bay Fish 0.2100000
## 149 Central Bay Fish 0.2100000
## 150 Central Bay Fish 0.2100000
## 151 Central Bay Fish 0.2100000
## 152 Central Bay Fish 0.2100000
## 153 Central Bay Fish 0.2100000
## 154 Central Bay Fish 0.2100000
## 155 Central Bay Fish 0.2100000
## 156 Central Bay Fish 0.2100000
## 157 Central Bay Fish 0.2100000
## 158 Central Bay Fish 0.2100000
## 159 Central Bay Fish 0.2100000
## 160 Central Bay Fish 0.2100000
## 161 Central Bay Fish 0.2100000
## 162 general Fish 0.1775000
## 163 general Fish 0.1775000
## 164 general Fish 0.1775000
## 165 general Fish 0.1775000
## 166 general Fish 0.1775000
## 167 general Fish 0.1775000
## 168 general Fish 0.1775000
## 169 general Fish 0.1775000
## 170 general Fish 0.1775000
## 171 general Fish 0.1775000
## 172 Tomales Bay Fish 0.1300000
## 173 Tomales Bay Fish 0.1300000
## 174 Tomales Bay Fish 0.1300000
## 175 Tomales Bay Fish 0.1300000
## 176 Tomales Bay Fish 0.1300000
## 177 Tomales Bay Fish 0.1300000
## 178 Tomales Bay Fish 0.1300000
## 179 Tomales Bay Fish 0.1300000
## 180 Tomales Bay Fish 0.1300000
## 181 Tomales Bay Fish 0.1300000
## 182 general Sediment 0.3800000
## 183 Central Bay Sediment 0.4400000
## 184 Central Bay Sediment 0.4400000
## 185 Central Bay Sediment 0.4400000
## 186 Central Bay Sediment 0.4400000
## 187 Lower South Bay Sediment 0.5000000
## 188 Lower South Bay Sediment 0.5000000
## 189 Lower South Bay Sediment 0.5000000
## 190 general Sediment 0.3800000
## 191 South Bay Sediment 0.3900000
## 192 South Bay Sediment 0.3900000
## 193 South Bay Sediment 0.3900000
## 194 general Sediment 0.3800000
## 195 general Sediment 0.3800000
## 196 general Sediment 0.3800000
## 197 general Sediment 0.3800000
## 198 general Sediment 0.3800000
## 199 general Sediment 0.3800000
## 200 Tomales Bay Sediment 0.1800000
## 201 Tomales Bay Sediment 0.1800000
## 202 Central Bay Surface (Manta Trawl) 0.7321263
## 203 Central Bay Surface (Manta Trawl) 0.7321263
## 204 Central Bay Surface (Manta Trawl) 0.7321263
## 205 Central Bay Surface (Manta Trawl) 0.7321263
## 206 Central Bay Surface (Manta Trawl) 0.7321263
## 207 Central Bay Surface (Manta Trawl) 0.7321263
## 208 Central Bay Surface (Manta Trawl) 0.7321263
## 209 Central Bay Surface (Manta Trawl) 0.7321263
## 210 Central Bay Surface (Manta Trawl) 0.7321263
## 211 Central Bay Surface (Manta Trawl) 0.7321263
## 212 Central Bay Surface (Manta Trawl) 0.7321263
## 213 Central Bay Surface (Manta Trawl) 0.7321263
## 214 Central Bay Surface (Manta Trawl) 0.7321263
## 215 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 216 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 217 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 218 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 219 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 220 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 221 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 222 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 223 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 224 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 225 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 226 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 227 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 228 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 229 Lower South Bay Surface (Manta Trawl) 0.7321263
## 230 Lower South Bay Surface (Manta Trawl) 0.7321263
## 231 Lower South Bay Surface (Manta Trawl) 0.7321263
## 232 Lower South Bay Surface (Manta Trawl) 0.7321263
## 233 Lower South Bay Surface (Manta Trawl) 0.7321263
## 234 Lower South Bay Surface (Manta Trawl) 0.7321263
## 235 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 236 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 237 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 238 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 239 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 240 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 241 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 242 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 243 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 244 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 245 South Bay Surface (Manta Trawl) 0.7321263
## 246 South Bay Surface (Manta Trawl) 0.7321263
## 247 South Bay Surface (Manta Trawl) 0.7321263
## 248 South Bay Surface (Manta Trawl) 0.7321263
## 249 South Bay Surface (Manta Trawl) 0.7321263
## 250 South Bay Surface (Manta Trawl) 0.7321263
## 251 South Bay Surface (Manta Trawl) 0.7321263
## 252 South Bay Surface (Manta Trawl) 0.7321263
## 253 general Surface (Manta Trawl) 0.7321263
## 254 general Surface (Manta Trawl) 0.7321263
## 255 general Surface (Manta Trawl) 0.7321263
## 256 general Surface (Manta Trawl) 0.7321263
## 257 general Surface (Manta Trawl) 0.7321263
## 258 general Surface (Manta Trawl) 0.7321263
## 259 general Surface (Manta Trawl) 0.7321263
## 260 general Surface (Manta Trawl) 0.7321263
## 261 general Surface (Manta Trawl) 0.7321263
## 262 general Surface (Manta Trawl) 0.7321263
## 263 general Surface (Manta Trawl) 0.7321263
## 264 general Surface (Manta Trawl) 0.7321263
## 265 general Surface (Manta Trawl) 0.7321263
## 266 general Surface (Manta Trawl) 0.7321263
## 267 Central Bay Surface (1L-grab) 0.6200000
## 268 Central Bay Surface (1L-grab) 0.6200000
## 269 Central Bay Surface (1L-grab) 0.6200000
## 270 Central Bay Surface (1L-grab) 0.6200000
## 271 Central Bay Surface (1L-grab) 0.6200000
## 272 Central Bay Surface (1L-grab) 0.6200000
## 273 Central Bay Surface (1L-grab) 0.6200000
## 274 Central Bay Surface (1L-grab) 0.6200000
## 275 Central Bay Surface (1L-grab) 0.6200000
## 276 Central Bay Surface (1L-grab) 0.6200000
## 277 Central Bay Surface (1L-grab) 0.6200000
## 278 Central Bay Surface (1L-grab) 0.6200000
## 279 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 280 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 281 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 282 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 283 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 284 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 285 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 286 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 287 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 288 Lower South Bay Surface (1L-grab) 0.7200000
## 289 Lower South Bay Surface (1L-grab) 0.7200000
## 290 Lower South Bay Surface (1L-grab) 0.7200000
## 291 Lower South Bay Surface (1L-grab) 0.7200000
## 292 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 293 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 294 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 295 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 296 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 297 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 298 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 299 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 300 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 301 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 302 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 303 South Bay Surface (1L-grab) 0.4500000
## 304 South Bay Surface (1L-grab) 0.4500000
## 305 South Bay Surface (1L-grab) 0.4500000
## 306 South Bay Surface (1L-grab) 0.4500000
## 307 South Bay Surface (1L-grab) 0.4500000
## 308 South Bay Surface (1L-grab) 0.4500000
## 309 South Bay Surface (1L-grab) 0.4500000
## 310 general Surface (1L-grab) 0.4900000
## 311 general Surface (1L-grab) 0.4900000
## 312 general Surface (1L-grab) 0.4900000
## 313 general Surface (1L-grab) 0.4900000
## 314 general Surface (1L-grab) 0.4900000
## 315 general Surface (1L-grab) 0.4900000
## proportion.upper95 proportion.lower95 proportion.sd proportion.n
## 1 NA NA NA NA
## 2 NA NA NA NA
## 3 NA NA NA NA
## 4 NA NA NA NA
## 5 NA NA NA NA
## 6 NA NA NA NA
## 7 NA NA NA NA
## 8 NA NA NA NA
## 9 NA NA NA NA
## 10 NA NA NA NA
## 11 NA NA NA NA
## 12 NA NA NA NA
## 13 NA NA NA NA
## 14 NA NA NA NA
## 15 NA NA NA NA
## 16 NA NA NA NA
## 17 NA NA NA NA
## 18 NA NA NA NA
## 19 NA NA NA NA
## 20 NA NA NA NA
## 21 NA NA NA NA
## 22 NA NA NA NA
## 23 NA NA NA NA
## 24 NA NA NA NA
## 25 NA NA NA NA
## 26 NA NA NA NA
## 27 NA NA NA NA
## 28 NA NA NA NA
## 29 NA NA NA NA
## 30 NA NA NA NA
## 31 NA NA NA NA
## 32 NA NA NA NA
## 33 NA NA NA NA
## 34 NA NA NA NA
## 35 NA NA NA NA
## 36 NA NA NA NA
## 37 NA NA NA NA
## 38 NA NA NA NA
## 39 NA NA NA NA
## 40 NA NA NA NA
## 41 NA NA NA NA
## 42 NA NA NA NA
## 43 NA NA NA NA
## 44 NA NA NA NA
## 45 NA NA NA NA
## 46 NA NA NA NA
## 47 NA NA NA NA
## 48 NA NA NA NA
## 49 NA NA NA NA
## 50 NA NA NA NA
## 51 NA NA NA NA
## 52 NA NA NA NA
## 53 NA NA NA NA
## 54 NA NA NA NA
## 55 NA NA NA NA
## 56 NA NA NA NA
## 57 NA NA NA NA
## 58 NA NA NA NA
## 59 NA NA NA NA
## 60 NA NA NA NA
## 61 NA NA NA NA
## 62 NA NA NA NA
## 63 NA NA NA NA
## 64 NA NA NA NA
## 65 NA NA NA NA
## 66 NA NA NA NA
## 67 NA NA NA NA
## 68 NA NA NA NA
## 69 NA NA NA NA
## 70 NA NA NA NA
## 71 NA NA NA NA
## 72 NA NA NA NA
## 73 NA NA NA NA
## 74 NA NA NA NA
## 75 NA NA NA NA
## 76 NA NA NA NA
## 77 NA NA NA NA
## 78 NA NA NA NA
## 79 NA NA NA NA
## 80 NA NA NA NA
## 81 NA NA NA NA
## 82 NA NA NA NA
## 83 NA NA NA NA
## 84 NA NA NA NA
## 85 NA NA NA NA
## 86 NA NA NA NA
## 87 NA NA NA NA
## 88 NA NA NA NA
## 89 NA NA NA NA
## 90 NA NA NA NA
## 91 NA NA NA NA
## 92 NA NA NA NA
## 93 NA NA NA NA
## 94 NA NA NA NA
## 95 NA NA NA NA
## 96 NA NA NA NA
## 97 NA NA NA NA
## 98 NA NA NA NA
## 99 NA NA NA NA
## 100 NA NA NA NA
## 101 NA NA NA NA
## 102 NA NA NA NA
## 103 NA NA NA NA
## 104 NA NA NA NA
## 105 NA NA NA NA
## 106 NA NA NA NA
## 107 NA NA NA NA
## 108 NA NA NA NA
## 109 NA NA NA NA
## 110 NA NA NA NA
## 111 NA NA NA NA
## 112 NA NA NA NA
## 113 NA NA NA NA
## 114 NA NA NA NA
## 115 NA NA NA NA
## 116 NA NA NA NA
## 117 NA NA NA NA
## 118 NA NA NA NA
## 119 NA NA NA NA
## 120 NA NA NA NA
## 121 NA NA NA NA
## 122 NA NA NA NA
## 123 NA NA NA NA
## 124 NA NA NA NA
## 125 NA NA NA NA
## 126 NA NA NA NA
## 127 NA NA NA NA
## 128 NA NA NA NA
## 129 NA NA NA NA
## 130 NA NA NA NA
## 131 NA NA NA NA
## 132 NA NA NA NA
## 133 NA NA NA NA
## 134 NA NA NA NA
## 135 NA NA NA NA
## 136 NA NA NA NA
## 137 NA NA NA NA
## 138 NA NA NA NA
## 139 NA NA NA NA
## 140 NA NA NA NA
## 141 NA NA NA NA
## 142 NA NA NA NA
## 143 NA NA NA NA
## 144 NA NA NA NA
## 145 NA NA NA NA
## 146 NA NA NA NA
## 147 NA NA NA NA
## 148 NA NA NA NA
## 149 NA NA NA NA
## 150 NA NA NA NA
## 151 NA NA NA NA
## 152 NA NA NA NA
## 153 NA NA NA NA
## 154 NA NA NA NA
## 155 NA NA NA NA
## 156 NA NA NA NA
## 157 NA NA NA NA
## 158 NA NA NA NA
## 159 NA NA NA NA
## 160 NA NA NA NA
## 161 NA NA NA NA
## 162 NA NA NA NA
## 163 NA NA NA NA
## 164 NA NA NA NA
## 165 NA NA NA NA
## 166 NA NA NA NA
## 167 NA NA NA NA
## 168 NA NA NA NA
## 169 NA NA NA NA
## 170 NA NA NA NA
## 171 NA NA NA NA
## 172 NA NA NA NA
## 173 NA NA NA NA
## 174 NA NA NA NA
## 175 NA NA NA NA
## 176 NA NA NA NA
## 177 NA NA NA NA
## 178 NA NA NA NA
## 179 NA NA NA NA
## 180 NA NA NA NA
## 181 NA NA NA NA
## 182 NA NA NA NA
## 183 NA NA NA NA
## 184 NA NA NA NA
## 185 NA NA NA NA
## 186 NA NA NA NA
## 187 NA NA NA NA
## 188 NA NA NA NA
## 189 NA NA NA NA
## 190 NA NA NA NA
## 191 NA NA NA NA
## 192 NA NA NA NA
## 193 NA NA NA NA
## 194 NA NA NA NA
## 195 NA NA NA NA
## 196 NA NA NA NA
## 197 NA NA NA NA
## 198 NA NA NA NA
## 199 NA NA NA NA
## 200 NA NA NA NA
## 201 NA NA NA NA
## 202 0.7929707 0.6712818 0.236417 58
## 203 0.7929707 0.6712818 0.236417 58
## 204 0.7929707 0.6712818 0.236417 58
## 205 0.7929707 0.6712818 0.236417 58
## 206 0.7929707 0.6712818 0.236417 58
## 207 0.7929707 0.6712818 0.236417 58
## 208 0.7929707 0.6712818 0.236417 58
## 209 0.7929707 0.6712818 0.236417 58
## 210 0.7929707 0.6712818 0.236417 58
## 211 0.7929707 0.6712818 0.236417 58
## 212 0.7929707 0.6712818 0.236417 58
## 213 0.7929707 0.6712818 0.236417 58
## 214 0.7929707 0.6712818 0.236417 58
## 215 0.7929707 0.6712818 0.236417 58
## 216 0.7929707 0.6712818 0.236417 58
## 217 0.7929707 0.6712818 0.236417 58
## 218 0.7929707 0.6712818 0.236417 58
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## 261 0.7929707 0.6712818 0.236417 58
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## 263 0.7929707 0.6712818 0.236417 58
## 264 0.7929707 0.6712818 0.236417 58
## 265 0.7929707 0.6712818 0.236417 58
## 266 0.7929707 0.6712818 0.236417 58
## 267 NA NA NA NA
## 268 NA NA NA NA
## 269 NA NA NA NA
## 270 NA NA NA NA
## 271 NA NA NA NA
## 272 NA NA NA NA
## 273 NA NA NA NA
## 274 NA NA NA NA
## 275 NA NA NA NA
## 276 NA NA NA NA
## 277 NA NA NA NA
## 278 NA NA NA NA
## 279 NA NA NA NA
## 280 NA NA NA NA
## 281 NA NA NA NA
## 282 NA NA NA NA
## 283 NA NA NA NA
## 284 NA NA NA NA
## 285 NA NA NA NA
## 286 NA NA NA NA
## 287 NA NA NA NA
## 288 NA NA NA NA
## 289 NA NA NA NA
## 290 NA NA NA NA
## 291 NA NA NA NA
## 292 NA NA NA NA
## 293 NA NA NA NA
## 294 NA NA NA NA
## 295 NA NA NA NA
## 296 NA NA NA NA
## 297 NA NA NA NA
## 298 NA NA NA NA
## 299 NA NA NA NA
## 300 NA NA NA NA
## 301 NA NA NA NA
## 302 NA NA NA NA
## 303 NA NA NA NA
## 304 NA NA NA NA
## 305 NA NA NA NA
## 306 NA NA NA NA
## 307 NA NA NA NA
## 308 NA NA NA NA
## 309 NA NA NA NA
## 310 NA NA NA NA
## 311 NA NA NA NA
## 312 NA NA NA NA
## 313 NA NA NA NA
## 314 NA NA NA NA
## 315 NA NA NA NA
## particles.L.blank.corrected.particle.corrected
## 1 7.620250e-01
## 2 7.713750e-01
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## 26 4.513500e-02
## 27 5.145333e-02
## 28 2.125000e-03
## 29 1.935167e-02
## 30 NA
## 31 NA
## 32 NA
## 33 NA
## 34 NA
## 35 NA
## 36 NA
## 37 NA
## 38 NA
## 39 NA
## 40 NA
## 41 NA
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## particles.fish.blank.corrected.particle.corrected
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## 7 NA
## 8 NA
## 9 NA
## 10 NA
## 11 NA
## 12 NA
## 13 NA
## 14 NA
## 15 NA
## 16 NA
## 17 NA
## 18 NA
## 19 NA
## 20 NA
## 21 NA
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## 30 3.640500
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## 182 NA
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## particles.kg.blank.corrected.particle.corrected
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## 7 NA
## 8 NA
## 9 NA
## 10 NA
## 11 NA
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## 1 NA
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## 264 6.423063e-05
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## 266 1.038792e-04
## 267 NA
## 268 NA
## 269 NA
## 270 NA
## 271 NA
## 272 NA
## 273 NA
## 274 NA
## 275 NA
## 276 NA
## 277 NA
## 278 NA
## 279 NA
## 280 NA
## 281 NA
## 282 NA
## 283 NA
## 284 NA
## 285 NA
## 286 NA
## 287 NA
## 288 NA
## 289 NA
## 290 NA
## 291 NA
## 292 NA
## 293 NA
## 294 NA
## 295 NA
## 296 NA
## 297 NA
## 298 NA
## 299 NA
## 300 NA
## 301 NA
## 302 NA
## 303 NA
## 304 NA
## 305 NA
## 306 NA
## 307 NA
## 308 NA
## 309 NA
## 310 NA
## 311 NA
## 312 NA
## 313 NA
## 314 NA
## 315 NA
## particles.L.blank.corrected.particle.corrected.lower95
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## 7 NA
## 8 NA
## 9 NA
## 10 NA
## 11 NA
## 12 NA
## 13 NA
## 14 NA
## 15 NA
## 16 NA
## 17 NA
## 18 NA
## 19 NA
## 20 NA
## 21 NA
## 22 NA
## 23 NA
## 24 NA
## 25 NA
## 26 NA
## 27 NA
## 28 NA
## 29 NA
## 30 NA
## 31 NA
## 32 NA
## 33 NA
## 34 NA
## 35 NA
## 36 NA
## 37 NA
## 38 NA
## 39 NA
## 40 NA
## 41 NA
## 42 NA
## 43 NA
## 44 NA
## 45 NA
## 46 NA
## 47 NA
## 48 NA
## 49 NA
## 50 NA
## 51 NA
## 52 NA
## 53 NA
## 54 NA
## 55 NA
## 56 NA
## 57 NA
## 58 NA
## 59 NA
## 60 NA
## 61 NA
## 62 NA
## 63 NA
## 64 NA
## 65 NA
## 66 NA
## 67 NA
## 68 NA
## 69 NA
## 70 NA
## 71 NA
## 72 NA
## 73 NA
## 74 NA
## 75 NA
## 76 NA
## 77 NA
## 78 NA
## 79 NA
## 80 NA
## 81 NA
## 82 NA
## 83 NA
## 84 NA
## 85 NA
## 86 NA
## 87 NA
## 88 NA
## 89 NA
## 90 NA
## 91 NA
## 92 NA
## 93 NA
## 94 NA
## 95 NA
## 96 NA
## 97 NA
## 98 NA
## 99 NA
## 100 NA
## 101 NA
## 102 NA
## 103 NA
## 104 NA
## 105 NA
## 106 NA
## 107 NA
## 108 NA
## 109 NA
## 110 NA
## 111 NA
## 112 NA
## 113 NA
## 114 NA
## 115 NA
## 116 NA
## 117 NA
## 118 NA
## 119 NA
## 120 NA
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## 122 NA
## 123 NA
## 124 NA
## 125 NA
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## 128 NA
## 129 NA
## 130 NA
## 131 NA
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## 133 NA
## 134 NA
## 135 NA
## 136 NA
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## 138 NA
## 139 NA
## 140 NA
## 141 NA
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## 143 NA
## 144 NA
## 145 NA
## 146 NA
## 147 NA
## 148 NA
## 149 NA
## 150 NA
## 151 NA
## 152 NA
## 153 NA
## 154 NA
## 155 NA
## 156 NA
## 157 NA
## 158 NA
## 159 NA
## 160 NA
## 161 NA
## 162 NA
## 163 NA
## 164 NA
## 165 NA
## 166 NA
## 167 NA
## 168 NA
## 169 NA
## 170 NA
## 171 NA
## 172 NA
## 173 NA
## 174 NA
## 175 NA
## 176 NA
## 177 NA
## 178 NA
## 179 NA
## 180 NA
## 181 NA
## 182 NA
## 183 NA
## 184 NA
## 185 NA
## 186 NA
## 187 NA
## 188 NA
## 189 NA
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## 194 NA
## 195 NA
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## 201 NA
## 202 1.543948e-05
## 203 4.104217e-03
## 204 2.946927e-04
## 205 1.267380e-03
## 206 3.430250e-04
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## 210 4.893644e-04
## 211 1.520453e-03
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## 231 2.396476e-04
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## 235 2.658276e-04
## 236 1.973569e-04
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## 249 8.592407e-05
## 250 3.275855e-04
## 251 1.946046e-03
## 252 9.290540e-04
## 253 2.859661e-04
## 254 2.859661e-04
## 255 3.960563e-05
## 256 3.960563e-05
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## 258 6.175793e-05
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## 260 4.276065e-04
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## 264 5.437383e-05
## 265 8.793792e-05
## 266 8.793792e-05
## 267 NA
## 268 NA
## 269 NA
## 270 NA
## 271 NA
## 272 NA
## 273 NA
## 274 NA
## 275 NA
## 276 NA
## 277 NA
## 278 NA
## 279 NA
## 280 NA
## 281 NA
## 282 NA
## 283 NA
## 284 NA
## 285 NA
## 286 NA
## 287 NA
## 288 NA
## 289 NA
## 290 NA
## 291 NA
## 292 NA
## 293 NA
## 294 NA
## 295 NA
## 296 NA
## 297 NA
## 298 NA
## 299 NA
## 300 NA
## 301 NA
## 302 NA
## 303 NA
## 304 NA
## 305 NA
## 306 NA
## 307 NA
## 308 NA
## 309 NA
## 310 NA
## 311 NA
## 312 NA
## 313 NA
## 314 NA
## 315 NA
## particles.L.blank.corrected.particle.corrected.sd
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## 7 NA
## 8 NA
## 9 NA
## 10 NA
## 11 NA
## 12 NA
## 13 NA
## 14 NA
## 15 NA
## 16 NA
## 17 NA
## 18 NA
## 19 NA
## 20 NA
## 21 NA
## 22 NA
## 23 NA
## 24 NA
## 25 NA
## 26 NA
## 27 NA
## 28 NA
## 29 NA
## 30 NA
## 31 NA
## 32 NA
## 33 NA
## 34 NA
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## 39 NA
## 40 NA
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## 50 NA
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## 53 NA
## 54 NA
## 55 NA
## 56 NA
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## 65 NA
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## 73 NA
## 74 NA
## 75 NA
## 76 NA
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## 78 NA
## 79 NA
## 80 NA
## 81 NA
## 82 NA
## 83 NA
## 84 NA
## 85 NA
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## 89 NA
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## 93 NA
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## 101 NA
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## 103 NA
## 104 NA
## 105 NA
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## 107 NA
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## 112 NA
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## 146 NA
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## 149 NA
## 150 NA
## 151 NA
## 152 NA
## 153 NA
## 154 NA
## 155 NA
## 156 NA
## 157 NA
## 158 NA
## 159 NA
## 160 NA
## 161 NA
## 162 NA
## 163 NA
## 164 NA
## 165 NA
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## 170 NA
## 171 NA
## 172 NA
## 173 NA
## 174 NA
## 175 NA
## 176 NA
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## 180 NA
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## 182 NA
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## 184 NA
## 185 NA
## 186 NA
## 187 NA
## 188 NA
## 189 NA
## 190 NA
## 191 NA
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## 194 NA
## 195 NA
## 196 NA
## 197 NA
## 198 NA
## 199 NA
## 200 NA
## 201 NA
## 202 5.437592e-06
## 203 1.445454e-03
## 204 1.037871e-04
## 205 4.463554e-04
## 206 1.208091e-04
## 207 1.962261e-05
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## 210 1.723480e-04
## 211 5.354846e-04
## 212 1.026759e-03
## 213 4.444640e-05
## 214 1.314266e-02
## 215 2.080470e-05
## 216 3.853598e-05
## 217 2.978855e-05
## 218 3.286197e-05
## 219 0.000000e+00
## 220 5.437592e-06
## 221 5.153892e-05
## 222 4.728341e-06
## 223 1.867695e-05
## 224 3.286197e-05
## 225 1.844053e-05
## 226 1.182085e-06
## 227 2.269604e-05
## 228 1.323935e-05
## 229 2.321615e-04
## 230 6.288693e-05
## 231 8.440088e-05
## 232 5.863143e-05
## 233 3.617181e-05
## 234 1.219912e-04
## 235 9.362115e-05
## 236 6.950661e-05
## 237 6.454185e-05
## 238 4.491924e-06
## 239 8.983848e-06
## 240 1.607636e-05
## 241 1.276652e-05
## 242 8.983848e-06
## 243 1.607636e-05
## 244 5.674009e-06
## 245 2.647871e-05
## 246 5.579442e-05
## 247 4.279148e-05
## 248 6.158664e-04
## 249 3.026138e-05
## 250 1.153715e-04
## 251 6.853730e-04
## 252 3.272012e-04
## 253 1.007137e-04
## 254 1.007137e-04
## 255 1.394861e-05
## 256 1.394861e-05
## 257 2.175037e-05
## 258 2.175037e-05
## 259 1.505977e-04
## 260 1.505977e-04
## 261 3.331116e-04
## 262 3.331116e-04
## 263 1.914978e-05
## 264 1.914978e-05
## 265 3.097063e-05
## 266 3.097063e-05
## 267 NA
## 268 NA
## 269 NA
## 270 NA
## 271 NA
## 272 NA
## 273 NA
## 274 NA
## 275 NA
## 276 NA
## 277 NA
## 278 NA
## 279 NA
## 280 NA
## 281 NA
## 282 NA
## 283 NA
## 284 NA
## 285 NA
## 286 NA
## 287 NA
## 288 NA
## 289 NA
## 290 NA
## 291 NA
## 292 NA
## 293 NA
## 294 NA
## 295 NA
## 296 NA
## 297 NA
## 298 NA
## 299 NA
## 300 NA
## 301 NA
## 302 NA
## 303 NA
## 304 NA
## 305 NA
## 306 NA
## 307 NA
## 308 NA
## 309 NA
## 310 NA
## 311 NA
## 312 NA
## 313 NA
## 314 NA
## 315 NA
## particles.L.blank.corrected.particle.corrected.fiber.corrected
## 1 3.504095e+00
## 2 3.547090e+00
## 3 1.547821e+01
## 4 1.210310e+01
## 5 1.061977e+01
## 6 1.812241e+01
## 7 2.162650e+01
## 8 4.965926e+00
## 9 2.343229e+00
## 10 3.835157e+01
## 11 2.657093e+01
## 12 5.247544e+01
## 13 8.403574e-02
## 14 1.498312e-02
## 15 2.316520e-01
## 16 5.485124e-02
## 17 3.908639e-03
## 18 7.035551e-03
## 19 2.423356e-02
## 20 3.035710e-02
## 21 2.892393e-02
## 22 1.013640e-01
## 23 4.820655e-03
## 24 7.165839e-03
## 25 1.411019e-01
## 26 2.075487e-01
## 27 2.366030e-01
## 28 9.771598e-03
## 29 8.898669e-02
## 30 NA
## 31 NA
## 32 NA
## 33 NA
## 34 NA
## 35 NA
## 36 NA
## 37 NA
## 38 NA
## 39 NA
## 40 NA
## 41 NA
## 42 NA
## 43 NA
## 44 NA
## 45 NA
## 46 NA
## 47 NA
## 48 NA
## 49 NA
## 50 NA
## 51 NA
## 52 NA
## 53 NA
## 54 NA
## 55 NA
## 56 NA
## 57 NA
## 58 NA
## 59 NA
## 60 NA
## 61 NA
## 62 NA
## 63 NA
## 64 NA
## 65 NA
## 66 NA
## 67 NA
## 68 NA
## 69 NA
## 70 NA
## 71 NA
## 72 NA
## 73 NA
## 74 NA
## 75 NA
## 76 NA
## 77 NA
## 78 NA
## 79 NA
## 80 NA
## 81 NA
## 82 NA
## 83 NA
## 84 NA
## 85 NA
## 86 NA
## 87 NA
## 88 NA
## 89 NA
## 90 NA
## 91 NA
## 92 NA
## 93 NA
## 94 NA
## 95 NA
## 96 NA
## 97 NA
## 98 NA
## 99 NA
## 100 NA
## 101 NA
## 102 NA
## 103 NA
## 104 NA
## 105 NA
## 106 NA
## 107 NA
## 108 NA
## 109 NA
## 110 NA
## 111 NA
## 112 NA
## 113 NA
## 114 NA
## 115 NA
## 116 NA
## 117 NA
## 118 NA
## 119 NA
## 120 NA
## 121 NA
## 122 NA
## 123 NA
## 124 NA
## 125 NA
## 126 NA
## 127 NA
## 128 NA
## 129 NA
## 130 NA
## 131 NA
## 132 NA
## 133 NA
## 134 NA
## 135 NA
## 136 NA
## 137 NA
## 138 NA
## 139 NA
## 140 NA
## 141 NA
## 142 NA
## 143 NA
## 144 NA
## 145 NA
## 146 NA
## 147 NA
## 148 NA
## 149 NA
## 150 NA
## 151 NA
## 152 NA
## 153 NA
## 154 NA
## 155 NA
## 156 NA
## 157 NA
## 158 NA
## 159 NA
## 160 NA
## 161 NA
## 162 NA
## 163 NA
## 164 NA
## 165 NA
## 166 NA
## 167 NA
## 168 NA
## 169 NA
## 170 NA
## 171 NA
## 172 NA
## 173 NA
## 174 NA
## 175 NA
## 176 NA
## 177 NA
## 178 NA
## 179 NA
## 180 NA
## 181 NA
## 182 NA
## 183 NA
## 184 NA
## 185 NA
## 186 NA
## 187 NA
## 188 NA
## 189 NA
## 190 NA
## 191 NA
## 192 NA
## 193 NA
## 194 NA
## 195 NA
## 196 NA
## 197 NA
## 198 NA
## 199 NA
## 200 NA
## 201 NA
## 202 7.743200e-05
## 203 2.058345e-02
## 204 1.477941e-03
## 205 6.356157e-03
## 206 1.720337e-03
## 207 2.794285e-04
## 208 1.562106e-03
## 209 2.605755e-03
## 210 2.454258e-03
## 211 7.625369e-03
## 212 1.462118e-02
## 213 6.329224e-04
## 214 1.871531e-01
## 215 2.962616e-04
## 216 5.487572e-04
## 217 4.241927e-04
## 218 4.679586e-04
## 219 0.000000e+00
## 220 7.743200e-05
## 221 7.339207e-04
## 222 6.733217e-05
## 223 2.659621e-04
## 224 4.679586e-04
## 225 2.625955e-04
## 226 1.683304e-05
## 227 3.231944e-04
## 228 1.885301e-04
## 229 3.306010e-03
## 230 8.955179e-04
## 231 1.201879e-03
## 232 8.349190e-04
## 233 5.150911e-04
## 234 1.737170e-03
## 235 1.333177e-03
## 236 9.897830e-04
## 237 9.190842e-04
## 238 6.396557e-05
## 239 1.279311e-04
## 240 2.289294e-04
## 241 1.817969e-04
## 242 1.279311e-04
## 243 2.289294e-04
## 244 8.079861e-05
## 245 3.770602e-04
## 246 7.945197e-04
## 247 6.093562e-04
## 248 8.770016e-03
## 249 4.309259e-04
## 250 1.642905e-03
## 251 9.759799e-03
## 252 4.659386e-03
## 253 1.434175e-03
## 254 1.434175e-03
## 255 1.986299e-04
## 256 1.986299e-04
## 257 3.097280e-04
## 258 3.097280e-04
## 259 2.144530e-03
## 260 2.144530e-03
## 261 4.743552e-03
## 262 4.743552e-03
## 263 2.726953e-04
## 264 2.726953e-04
## 265 4.410257e-04
## 266 4.410257e-04
## 267 9.879729e+00
## 268 7.797157e+00
## 269 2.119183e+01
## 270 1.789710e+00
## 271 5.562200e+00
## 272 1.421063e+01
## 273 6.628898e+00
## 274 4.512516e+00
## 275 7.707876e+00
## 276 7.272978e+00
## 277 1.875663e+01
## 278 5.334525e+01
## 279 4.690367e+00
## 280 2.564724e+00
## 281 1.355754e+01
## 282 1.019867e+00
## 283 0.000000e+00
## 284 2.832347e+00
## 285 1.109388e+00
## 286 1.974060e+00
## 287 5.729681e+00
## 288 1.025866e+01
## 289 4.236529e+00
## 290 2.522550e+01
## 291 7.986693e+00
## 292 2.122115e+01
## 293 3.726062e+00
## 294 1.474958e+00
## 295 5.582029e+01
## 296 3.521838e+00
## 297 3.443149e+00
## 298 2.510366e+00
## 299 6.675095e+00
## 300 5.475330e+00
## 301 2.933966e+01
## 302 9.847347e+00
## 303 2.065149e+00
## 304 1.271447e+01
## 305 6.923976e+00
## 306 3.302042e+00
## 307 5.518079e+00
## 308 8.977352e+00
## 309 2.055081e+01
## 310 7.510719e+00
## 311 6.384111e+00
## 312 1.146002e+01
## 313 1.181381e+01
## 314 6.229269e+00
## 315 9.976286e+00#Probabilistic Analysis ## Fiber Correction Distribution ### FitDistrPlus method
library(fitdistrplus)
#extract only proportions data
shape_fiber <- shape_counts %>%
# filter(proportion > 0.5) %>%
filter(category == "fiber") %>%
mutate(fiber.adjustment = 1 / (1 - proportion))
fiber.proportions <- shape_fiber$proportion
fiber.adjustment <- log10(shape_fiber$fiber.adjustment) #log10 transformation to improve modelling
summary(fiber.adjustment)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.06022 0.64880 1.07463 0.96513 1.22650 1.94612#determine possible candidates with descdist
descdist(fiber.proportions, discrete = FALSE)
## summary statistics
## ------
## min: 0.1294766 max: 0.9886792
## median: 0.9157895
## mean: 0.782533
## estimated sd: 0.2826277
## estimated skewness: -1.93166
## estimated kurtosis: 6.422156cullen.frey.fiber <- descdist(fiber.adjustment, boot =1000)
cullen.frey.fiber## summary statistics
## ------
## min: 0.06021954 max: 1.946125
## median: 1.074634
## mean: 0.9651293
## estimated sd: 0.5613935
## estimated skewness: -0.03045785
## estimated kurtosis: 3.260815fiber.proportions.fit.beta <- fitdist(fiber.proportions, "beta")
plot(fiber.proportions.fit.beta)
summary(fiber.proportions.fit.beta)## Fitting of the distribution ' beta ' by maximum likelihood
## Parameters :
## estimate Std. Error
## shape1 1.7390479 0.8720739
## shape2 0.5810629 0.2320818
## Loglikelihood: 4.334125 AIC: -4.668251 BIC: -4.273802
## Correlation matrix:
## shape1 shape2
## shape1 1.0000000 0.6118059
## shape2 0.6118059 1.0000000summary(fiber.proportions)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.1295 0.7755 0.9158 0.7825 0.9406 0.9887fiber.adjustment.fit.norm <- fitdist(fiber.adjustment, "norm",
# fix.arg = list(a = 0.06),
# start = as.list(mean = mean(fiber.adjustment), sd = sd(fiber.adjustment)))
)
plot(fiber.adjustment.fit.norm)
summary(fiber.adjustment.fit.norm)## Fitting of the distribution ' norm ' by maximum likelihood
## Parameters :
## estimate Std. Error
## mean 0.9651293 0.1764290
## sd 0.5292869 0.1247521
## Loglikelihood: -7.044424 AIC: 18.08885 BIC: 18.4833
## Correlation matrix:
## mean sd
## mean 1.000000e+00 4.887176e-12
## sd 4.887176e-12 1.000000e+002.5.4 Gamlss package
The gamlss package for R offers the ability to try many different distributions and select the “best” according to the GAIC (the generalized Akaike information criterion). The main function is fitDist. An important option in this function is the type of the distributions that are tried. For example, setting type = “realline” will try all implemented distributions defined on the whole real line whereas type = “realsplus” will only try distributions defined on the real positive line. Another important option is the parameter k, which is the penalty for the GAIC. In the example below, I set the parameter k=2 which means that the “best” distribution is selected according to the classic AIC. You can set k to anything you like, such as log(n) for the BIC.
fit <- fitDist(fiber.adjustment, k = 2, type = "realplus", trace = TRUE)## ----------------------------------------
## fitting different realplus distributions
##
|
| | 0%
|
|=== | 4%1 EXP 19.36112
##
|
|====== | 9%2 GA 19.84279
##
|
|========= | 13%3 IG 25.97164
##
|
|============ | 17%4 LOGNO 23.28481
##
|
|=============== | 22%5 LOGNO2 23.28481
##
|
|================== | 26%6 WEI 18.7167
##
|
|===================== | 30%7 WEI2 18.7167
##
|
|======================== | 35%8 WEI3 18.7167
##
|
|=========================== | 39%9 IGAMMA 28.66445
##
|
|============================== | 43%10 PARETO2 21.36115
##
|
|================================= | 48%11 PARETO2o 21.36115
##
|
|===================================== | 52%12 GP 21.36112
##
|
|======================================== | 57%13 BCCG 19.16741
##
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|=========================================== | 61%14 BCCGo 19.16741
##
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|============================================== | 65%15 exGAUS 20.08888
##
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|================================================= | 70%16 GG 18.97794
##
|
|==================================================== | 74%17 GIG 21.84279
##
|
|======================================================= | 78%18 LNO FAILED
##
|
|========================================================== | 83%19 BCTo 21.16742
##
|
|============================================================= | 87%Error in solve.default(oout$hessian) :
## Lapack routine dgesv: system is exactly singular: U[4,4] = 0
## 20 BCT 21.16741
##
|
|================================================================ | 91%21 BCPEo 20.95534
##
|
|=================================================================== | 96%22 BCPE 20.95534
##
|
|======================================================================| 100%23 GB2 20.97796summary(fit)## *******************************************************************
## Family: c("WEI2", "Weibull type 2")
##
## Call: gamlssML(formula = y, family = DIST[i])
##
## Fitting method: "nlminb"
##
##
## Coefficient(s):
## Estimate Std. Error t value Pr(>|t|)
## eta.mu -0.103498 0.355090 -0.29147 0.770692
## eta.sigma 0.517164 0.286425 1.80558 0.070984 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Degrees of Freedom for the fit: 2 Residual Deg. of Freedom 7
## Global Deviance: 14.7167
## AIC: 18.7167
## SBC: 19.1112n = 10000
## Generate values for the three distributions
fiber.func <- function(F){
success <- FALSE
while(!success){
#F = rlnorm(n = 1, mean = fiber.adjustment.fit.norm$estimate[1], sd = fiber.adjustment.fit.norm$estimate[2])
F = rnorm(n = 1, mean = fiber.adjustment.fit.norm$estimate[1], sd = fiber.adjustment.fit.norm$estimate[2])
#F = rWEI2(n = 1, mu = fit$mu.coefficients[1], sigma = fit$sigma.coefficients[1])
#F = rbeta(n = 1, shape1 = fiber.proportions.fit.beta$estimate[1], fiber.proportions.fit.beta$estimate[2])
# F = rSEP2(n = 1, mu = fit$mu.coefficients[1], sigma = fit$sigma.coefficients[1], nu = fit$nu.coefficients[1],
# tau = fit$tau.coefficients[1]) #PDF
success <- F <max(fiber.adjustment)} #lower limit of 0
return(F)
}
fiber <- data.frame(fiber.coefficent = numeric(0));
for(i in 1:n){
X <- fiber.func()
fiber <- rbind(fiber, X)
}
colnames(fiber) <- c("logfiber.adjustment")
#re-transform
fiber$fiber.adjustment <- 10 ^ fiber$logfiber.adjustment
#fiber$fiber.adjustment <- 1/(1 - fiber$fiber.proportion) #calculate adjustement based on percentage of fibers
summary(fiber$fiber.adjustment)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.09822 3.89330 8.91095 14.89182 19.31521 88.23998#define for plotting
fiber5 <- as.vector(quantile(fiber$fiber.adjustment, 0.05)[1])
fiber50 <- as.vector(quantile(fiber$fiber.adjustment, 0.50)[1])
fiber95 <- as.vector(quantile(fiber$fiber.adjustment, 0.95)[1])
#plot
fiber_hist <- fiber %>%
ggplot(aes(x = fiber.adjustment)) +
geom_density(fill = "orange",
color = "orange") +
#geom_histogram(fill = "lightblue") +
#@scale_x_log10() +
scale_x_continuous(limits = c(0, 100),
breaks = c(round(fiber5,0), round(fiber50,0), round(fiber95,0), 100)) +
geom_vline(aes(xintercept = median(fiber.adjustment)),
linetype = "solid") +
geom_vline(aes(xintercept = quantile(fiber.adjustment, 0.95)),
linetype = "dashed") +
geom_vline(aes(xintercept = quantile(fiber.adjustment, 0.05)),
linetype = "dashed") +
xlab("Manta Trawl Fiber Correction Factor") +
ylab("Relative Density") +
theme.type +
theme(legend.position = "none",
axis.title.y = element_text(size = 16),
axis.title.x = element_text(size = 16),
axis.text.y = element_blank())
fiber_hist
2.6 Plastic Percentage
2.6.0.1 Fit Distributions
plastic.proportions.manta <- manta.sample.plastic.percentages$freq / 1000
#determine possible candidates with descdist
cullen.frey.plastic <- descdist(plastic.proportions.manta, discrete = FALSE, boot =1000)
cullen.frey.plastic## summary statistics
## ------
## min: 0.009090909 max: 0.1
## median: 0.08021978
## mean: 0.07321263
## estimated sd: 0.0236417
## estimated skewness: -0.9471333
## estimated kurtosis: 3.293616plastic.proprotions.fit.beta <- fitdist(plastic.proportions.manta, "beta")
plot(plastic.proprotions.fit.beta)
summary(plastic.proprotions.fit.beta)## Fitting of the distribution ' beta ' by maximum likelihood
## Parameters :
## estimate Std. Error
## shape1 5.806742 1.048856
## shape2 73.695004 13.855538
## Loglikelihood: 125.8089 AIC: -247.6178 BIC: -243.4969
## Correlation matrix:
## shape1 shape2
## shape1 1.0000000 0.9542329
## shape2 0.9542329 1.0000000fitPlastic <- fitDist(plastic.proportions.manta, k = 2, type = "realplus", trace = TRUE, try.gamlss = TRUE)## ----------------------------------------
## fitting different realplus distributions
##
|
| | 0%
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|=== | 4%1 EXP -185.2689
##
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|====== | 9%2 GA -245.9262
##
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|========= | 13%3 IG -221.6793
##
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|============ | 17%4 LOGNO -229.4815
##
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|=============== | 22%5 LOGNO2 -229.4815
##
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|================== | 26%6 WEI -265.9643
##
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|===================== | 30%7 WEI2 -265.9643
##
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|======================== | 35%8 WEI3 -265.9643
##
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|=========================== | 39%9 IGAMMA -204.5338
##
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|============================== | 43%10 PARETO2 -183.2687
##
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|================================= | 48%11 PARETO2o -183.2689
##
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|===================================== | 52%12 GP -183.2689
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|======================================== | 57%13 BCCG -275.3747
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|=========================================== | 61%14 BCCGo -275.3747
##
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|============================================== | 65%15 exGAUS -264.7976
##
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|================================================= | 70%16 GG -295.3534
##
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|==================================================== | 74%17 GIG -243.9262
##
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|======================================================= | 78%18 LNO -229.4815
##
|
|========================================================== | 83%Error in solve.default(oout$hessian) :
## Lapack routine dgesv: system is exactly singular: U[4,4] = 0
## 19 BCTo -273.3747
##
|
|============================================================= | 87%Error in solve.default(oout$hessian) :
## Lapack routine dgesv: system is exactly singular: U[4,4] = 0
## 20 BCT -273.3747
##
|
|================================================================ | 91%21 BCPEo -363.248
##
|
|=================================================================== | 96%Error in solve.default(oout$hessian) :
## system is computationally singular: reciprocal condition number = 2.79537e-19
## 22 BCPE -298.6373
##
|
|======================================================================| 100%23 GB2 -281.7441summary(fitPlastic)## ******************************************************************
## Family: c("BCPEo", "Box-Cox Power Exponential-orig.")
##
## Call: gamlss(formula = y ~ 1, family = DIST[i], trace = FALSE)
##
## Fitting method: RS()
##
## ------------------------------------------------------------------
## Mu link function: log
## Mu Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -2.64e+00 7.12e-05 -37077 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## ------------------------------------------------------------------
## Sigma link function: log
## Sigma Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -1.1957163 0.0002209 -5413 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## ------------------------------------------------------------------
## Nu link function: identity
## Nu Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.4460646 0.0008432 2901 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## ------------------------------------------------------------------
## Tau link function: log
## Tau Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 12.78 11.75 1.087 0.282
##
## ------------------------------------------------------------------
## No. of observations in the fit: 58
## Degrees of Freedom for the fit: 4
## Residual Deg. of Freedom: 54
## at cycle: 8
##
## Global Deviance: -371.248
## AIC: -363.248
## SBC: -355.0062
## ******************************************************************plastic.func <- function(F){
success <- FALSE
while(!success){
P = rbeta(n = 1,
shape1 = plastic.proprotions.fit.beta$estimate[1],
shape2 = plastic.proprotions.fit.beta$estimate[2])
success <- P < 0.1} #upper limit of 1 (values were divied by ten for compuation above)
return(P)
}
plastic <- data.frame(plastic.coefficent = numeric(0));
for(i in 1:n){
X <- plastic.func()
plastic <- rbind(plastic, X)
}
colnames(plastic) <- c("plastic.proportion")
plastic$plastic.proportion <- plastic$plastic.proportion * 10 # correct from transoformation above
distributions <- cbind(plastic$plastic.proportion, fiber$fiber.adjustment)
colnames(distributions) <- c("plastic.proportion", "fiber.proportion")
summary(plastic$plastic.proportion)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.07881 0.48155 0.63278 0.63100 0.78573 0.99963#define for plotting
plastic5 <- as.vector(quantile(plastic$plastic.proportion, 0.05)[1])
plastic50 <- as.vector(quantile(plastic$plastic.proportion, 0.50)[1])
plastic95 <- as.vector(quantile(plastic$plastic.proportion, 0.95)[1])
#plot
plastic_hist <- plastic %>%
ggplot(aes(x = plastic.proportion)) +
geom_density(fill = "forestgreen",
color = "forestgreen") +
#geom_histogram(fill = "lightblue") +
#@scale_x_log10() +
scale_x_continuous(limits = c(0, 1),
breaks = c(0, round(plastic5,2), round(plastic50,2), round(plastic95,2))) +
geom_vline(aes(xintercept = median(plastic.proportion)),
linetype = "solid") +
geom_vline(aes(xintercept = quantile(plastic.proportion, 0.95)),
linetype = "dashed") +
geom_vline(aes(xintercept = quantile(plastic.proportion, 0.05)),
linetype = "dashed") +
xlab("Proportion of Particles Confirmed Plastic") +
ylab("Relative Density") +
theme.type +
theme(legend.position = "none",
axis.title.y = element_text(size = 16),
axis.title.x = element_text(size = 16),
axis.text.y = element_blank())
plastic_hist
## Alignment Correction Factor Since the alpha value was derived using a log-log linear regression, we can assume the distribution is log-normally distributed.
2.6.1 Alphas
#alpha dataframe
alpha <- data.frame(n = c(1:n),
alpha = numeric(n))
# parameters derived for SF Bay
m.alpha = alpha.marine
sd.alpha = alpha.marine.sd
min.alpha = 1.01 #from Kooi et al 2021
max.alpha = 2.56 #from Kooi et al 2021
#create truncated distribution of alpha values based on variation in SF Bay dataset
alpha$alpha <- rnorm(n = n, mean = m.alpha, sd = sd.alpha) #rtnorm(n = n, mean = m.alpha, sd = sd.alpha, lower = min.alpha, upper = max.alpha)
#define for plotting
alpha5 <- as.vector(quantile(alpha$alpha, 0.05)[1])
alpha50 <- as.vector(quantile(alpha$alpha, 0.50)[1])
alpha95 <- as.vector(quantile(alpha$alpha, 0.95)[1])
#plot
alpha_hist <- alpha %>%
ggplot(aes(x = alpha)) +
geom_density(fill = "purple",
color = "purple") +
#geom_histogram(fill = "lightblue") +
#@scale_x_log10() +
scale_x_continuous(limits = c(1.5, 2.5),
breaks = c(1, round(alpha5,2), round(alpha50,2), round(alpha95,2), 3)) +
geom_vline(aes(xintercept = median(alpha)),
linetype = "solid") +
geom_vline(aes(xintercept = quantile(alpha, 0.95)),
linetype = "dashed") +
geom_vline(aes(xintercept = quantile(alpha, 0.05)),
linetype = "dashed") +
ylab("Relative Density") +
theme.type +
theme(legend.position = "none",
axis.title.y = element_text(size = 16),
axis.title.x = element_text(size = 16),
axis.text.y = element_blank())
alpha_hist
### Correction Factors
# derive correction factors based on alpha values
alpha2 <- alpha %>%
mutate(CF = CFfnx(a = alpha,
x2D = x2D_set,
x1D = x1D_set,
x2M = 5000,
x1M = 333))
#define for plotting
CF5 <- as.vector(quantile(alpha2$CF, 0.05)[1])
CF50 <- as.vector(quantile(alpha2$CF, 0.50)[1])
CF95 <- as.vector(quantile(alpha2$CF, 0.95)[1])
#plot
CF_hist <- alpha2 %>%
ggplot(aes(x = CF)) +
geom_density(fill = "lightblue",
color = "lightblue") +
#geom_histogram(fill = "lightblue") +
#@scale_x_log10() +
scale_x_continuous(limits = c(0, 2000),
breaks = c(round(CF5,0), round(CF50,0), round(CF95,0), 1000, 2000)) +
geom_vline(aes(xintercept = median(CF)),
linetype = "solid") +
geom_vline(aes(xintercept = quantile(CF, 0.95)),
linetype = "dashed") +
geom_vline(aes(xintercept = quantile(CF, 0.05)),
linetype = "dashed") +
ylab("Relative Density") +
xlab("Alignment Correction Factor") +
theme.type +
theme(legend.position = "none",
axis.title.y = element_text(size = 16),
axis.title.x = element_text(size = 16),
axis.text.y = element_blank())
CF_hist
2.7 Combine distributions
#bind to distributino data frame
distributions_final <- cbind(distributions, alpha2)
combined.distributions <- distributions_final %>%
as.data.frame() %>%
mutate(combined.corrections = plastic.proportion * fiber.proportion * CF) %>%
mutate(combined.corrections.noFiberCorrection = plastic.proportion * CF)
summary(combined.distributions$combined.corrections)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 9.11 668.10 1856.16 4955.45 4946.72 251154.55quantile(combined.distributions$combined.corrections, c(0.05, .25, .50, .75, .90, 0.95, .99) )## 5% 25% 50% 75% 90% 95% 99%
## 157.8107 668.1017 1856.1637 4946.7227 11790.3991 19306.7056 48005.8937#quantile(combined.distributions$fiber.proportion, c(0.05,.25, .50, .75, .90, 0.95, .99) )#define for plotting and corrections later
combined.corrections5 <- as.vector(quantile(combined.distributions$combined.corrections, 0.05)[1])
combined.corrections25 <- as.vector(quantile(combined.distributions$combined.corrections, 0.25)[1])
combined.corrections50 <- as.vector(quantile(combined.distributions$combined.corrections, 0.50)[1])
combined.corrections75 <- as.vector(quantile(combined.distributions$combined.corrections, 0.75)[1])
combined.corrections95 <- as.vector(quantile(combined.distributions$combined.corrections, 0.95)[1])
#define for plotting and corrections later
combined.corrections.noFiberCorrection5 <- as.vector(quantile(combined.distributions$combined.corrections.noFiberCorrection, 0.05)[1])
combined.corrections.noFiberCorrection25 <- as.vector(quantile(combined.distributions$combined.corrections.noFiberCorrection, 0.25)[1])
combined.corrections.noFiberCorrection50 <- as.vector(quantile(combined.distributions$combined.corrections.noFiberCorrection, 0.50)[1])
combined.corrections.noFiberCorrection75 <- as.vector(quantile(combined.distributions$combined.corrections.noFiberCorrection, 0.75)[1])
combined.corrections.noFiberCorrection95 <- as.vector(quantile(combined.distributions$combined.corrections.noFiberCorrection, 0.95)[1])
#plot
combined.corrections_hist <- combined.distributions %>%
ggplot(aes(x = combined.corrections)) +
geom_density(fill = "deeppink",
color = "deeppink") +
#geom_histogram(fill = "lightblue") +
#@scale_x_log10() +
scale_x_continuous(limits = c(0, 20000),
breaks = c(round(combined.corrections5,0), round(combined.corrections50,0), round(combined.corrections95,0))) +
geom_vline(aes(xintercept = median(combined.corrections)),
linetype = "solid") +
geom_vline(aes(xintercept = quantile(combined.corrections, 0.95)),
linetype = "dashed") +
geom_vline(aes(xintercept = quantile(combined.corrections, 0.05)),
linetype = "dashed") +
ylab("Relative Density") +
xlab("Combined Correction Factors") +
theme.type +
theme(legend.position = "none",
axis.title.y = element_text(size = 16),
axis.title.x = element_text(size = 16),
axis.text.y = element_blank())
combined.corrections_hist
## Plot
# combined.distributions %>%
# pivot_longer(cols = c(plastic.proportion,fiber.proportion, alpha, CF, combined.corrections)) %>%
# ggplot(aes(x = value,
# fill = name)) +
# geom_histogram() +
# #scale_x_log10() +
# theme.type +
# theme(legend.position = "none") +
# facet_wrap(. ~ name,
# scales = "free",
# nrow = 3)
PDFs <- ggarrange(fiber_hist, plastic_hist, alpha_hist, CF_hist, combined.corrections_hist,
ncol = 2,
nrow = 3,
labels = c("A", "B", "C", "D", "E"))
PDFs
ggsave(plot = PDFs,
filename = "PDFs.jpeg",
path = "output/figures/",
width = 11, height = 9, units = "in",
bg = "white",
dpi = 300)cullenFreys <- ggarrange(cullen.frey.fiber, cullen.frey.plastic,
ncol = 2,
nrow = 3,
labels = c("A", "B", "C", "D", "E"))
cullenFreys
ggsave(plot =cullenFreys,
filename = "cullenFreys.jpeg",
path = "output/figures/",
width = 11, height = 8, units = "in",
bg = "white",
dpi = 300)3 APPLY CORRECTION FACTORS
Given an upper limit (UL) and lower limit (LL) of the measured and default size range, a dimensionless correction factor (\(CF_{meas}\)) for measured environmental concentrations may be calculated, which rescales the measured number concentrations for a certain size range to the number concentration for the microplastics default (D) size range (e.g. 1 to 5,000 um) (Koelmans et al 2020). Coefficients for the environmental-specific compartment for the power law distribution for length (L) with slope \(\alpha_L\) is from Table S4 of Kooi et al (2021).
\(CF_{Meas} = \frac{L^{1-a}_{UL,D} - L^{1-a}_{LL,D}}{L^{1-a}_{UL,M} - L^{1-a}_{LL,M}}\)
# correct aquatic concentrations for SF Bay
sfBay_aligned <- sfBay3 %>%
#remove duplicate rows
distinct(sampleID, .keep_all = TRUE) %>%
#filter
filter(!grepl("blank", sampleID)) %>% #remove blanks
mutate(CF = case_when(
sample.matrix.specific == "surface water" ~ CFfnx(a = alpha.marine, x1M = x1M, x2M = x2M, x1D = x1D_set, x2D = x2D_set),
sample.matrix.specific == "sediment" ~ CFfnx(a = alpha.sediment, x1M = x1M, x2M = x2M, x1D = x1D_set, x2D = x2D_set),
sample.matrix.specific == "wastewater" ~ CFfnx(a = alpha.wastewater, x1M = x1M, x2M = x2M, x1D = x1D_set, x2D = x2D_set),
sample.matrix.specific == "stormwater" ~ CFfnx(a = alpha.stormwater, x1M = x1M, x2M = x2M, x1D = x1D_set, x2D = x2D_set),
sample.matrix == "fish" ~ CFfnx(a = alpha.fish, x1M = x1M, x2M = x2M, x1D = x1D_set, x2D = x2D_set))#,
) %>%
#probabilistic corrections
mutate(particle.L.master.05 = case_when(Sampling.apparatus == "Manta Trawl" ~
particles.L.blank.corrected * combined.corrections5)) %>%
mutate(particle.L.master.25 = case_when(Sampling.apparatus == "Manta Trawl" ~
particles.L.blank.corrected * combined.corrections25)) %>%
mutate(particle.L.master.50 = case_when(Sampling.apparatus == "Manta Trawl" ~
particles.L.blank.corrected * combined.corrections50,
Sampling.apparatus == "1-L grab" ~ particles.L.blank.corrected * CF)) %>%
mutate(particle.L.master.75 = case_when(Sampling.apparatus == "Manta Trawl" ~
particles.L.blank.corrected * combined.corrections75)) %>%
mutate(particle.L.master.95 = case_when(Sampling.apparatus == "Manta Trawl" ~
particles.L.blank.corrected * combined.corrections95)) %>%
#probabilistic corrections (no fiber correction)
mutate(particle.L.master.05.noFiberCorrection = case_when(Sampling.apparatus == "Manta Trawl" ~
particles.L.blank.corrected * combined.corrections.noFiberCorrection5)) %>%
mutate(particle.L.master.25.noFiberCorrection = case_when(Sampling.apparatus == "Manta Trawl" ~
particles.L.blank.corrected * combined.corrections.noFiberCorrection25)) %>%
mutate(particle.L.master.50.noFiberCorrection = case_when(Sampling.apparatus == "Manta Trawl" ~
particles.L.blank.corrected * combined.corrections.noFiberCorrection50,
Sampling.apparatus == "1-L grab" ~ particles.L.blank.corrected * CF)) %>%
mutate(particle.L.master.75.noFiberCorrection = case_when(Sampling.apparatus == "Manta Trawl" ~
particles.L.blank.corrected * combined.corrections.noFiberCorrection75)) %>%
mutate(particle.L.master.95.noFiberCorrection = case_when(Sampling.apparatus == "Manta Trawl" ~
particles.L.blank.corrected * combined.corrections.noFiberCorrection95)) %>%
#baseline corrections
mutate(particle.L.master = case_when(Sampling.apparatus == "Manta Trawl" ~ particle.L.master.50,
Sampling.apparatus == "1-L grab" ~ particles.L.blank.corrected * CF,
sample.matrix.specific == "stormwater" ~ particles.L.blank.corrected.particle.corrected * CF,
sample.matrix.specific == "wastewater" ~ particles.L.blank.corrected.particle.corrected * CF),
particle.fish.master = particles.fish.blank.corrected.particle.corrected * CF,
particles.kg.master = particles.kg.blank.corrected.particle.corrected * CF) %>%
rename(unaligned.particle.L.master = particles.L.blank.corrected.particle.corrected) %>%
#filter(unaligned.particle.L.master > 0) %>% #remove blanks. should convert to 1/2 LOQ...
mutate(source = "SFEI") %>%
mutate(Reference = "Zhu et. al 2021") %>%
rename(Sampling.location = general.location) %>%
#dplyr::select(-c(particles.kg.blank.corrected,
# particles.fish.blank.corrected)) %>%
mutate(compartment = case_when(
System == "Lake" ~ "freshwater",
System == "River" ~ "freshwater",
System == "Estuary" ~ "marine",
System == "Ocean" ~ "marine",
)) %>%
mutate(Conc = particle.L.master) %>%
mutate_if(is.character, as.factor)4 Occurence ANalysis
4.0.1 Boxplot SFEI
This is a boxplot with three panels for water, sediment, and fish tissue #### Water Matrices
#first transform data
water_SFEI_mesh_matrix <- sfBay_aligned %>%
filter(source == "SFEI") %>%
filter(particle.L.master >0,
unaligned.particle.L.master > 0) %>%
mutate(apparatus.matrix = paste0(sample.matrix.specific, " (", Sampling.apparatus,")")) %>%
#filter(sample.matrix.specific == "surface water") %>%
drop_na(particle.L.master) %>%
dplyr::select(c(sampleID, unaligned.particle.L.master, particle.L.master,apparatus.matrix,
#Sampling.apparatus, sample.matrix.specific
)) %>%
pivot_longer(-c(sampleID, apparatus.matrix,
#Sampling.apparatus, sample.matrix.specific
), names_to = "alignment", values_to = "concentration") %>%
#rename for easy plotting
mutate(alignment_pretty = case_when(alignment == "particle.L.master" ~ "Aligned",
alignment == "unaligned.particle.L.master" ~ "Unaligned")) %>%
## PLOTTING ##
ggplot(aes(y = concentration, x =factor(apparatus.matrix, level = c('surface water (Manta Trawl)',
'surface water (1-L grab)',
'stormwater (depth-integrated perisaltic pump)',
'wastewater (Composite)')),
color = alignment_pretty)) +
#aligned
geom_boxplot(notch = TRUE, width = 1, size = 1) +
# ggbeeswarm::geom_quasirandom()+
# geom_point(position=position_jitterdodge())+
scale_color_manual(name = "Alignment",
values = hcl(c(0, 240),100,65, alpha=c(1,0.6)),
labels = c("Aligned (1 to 5,000 μm)",
"Unaligned")) +
scale_y_log10(breaks = scales::log_breaks(n = 12),labels = comma_signif,
limits = c(1e-6, 10000))+
# annotation_logticks(sides = "b")+ #log scale rick marks on bottom
ylab(paste0("Particles/L"))+
theme.type +
theme(
plot.title = element_text(hjust = 0.5, size = 18),
plot.subtitle = element_text(hjust = 0.5, size = 14),
axis.title.x = element_blank(),
legend.title = element_blank(),
legend.position = c(0.8,0.8),
legend.text = element_text(size = 12, face = "bold"),
legend.background = element_rect(fill = "white", color = "black"),
legend.key.size = unit(1.3, 'cm'))
water_SFEI_mesh_matrix
####Sediment
#first transform data
sediment_SFEI_mesh_matrix <- sfBay_aligned %>%
filter(source == "SFEI") %>%
filter(particles.kg.master >0,
particles.kg.blank.corrected.particle.corrected > 0) %>%
mutate(apparatus.matrix = paste0(sample.matrix.specific, " (", Sampling.apparatus,")")) %>%
#filter(sample.matrix.specific == "surface water") %>%
drop_na(particles.kg.master) %>%
dplyr::select(c(sampleID, particles.kg.blank.corrected.particle.corrected, particles.kg.master,apparatus.matrix,
#Sampling.apparatus, sample.matrix.specific
)) %>%
pivot_longer(-c(sampleID, apparatus.matrix,
#Sampling.apparatus, sample.matrix.specific
), names_to = "alignment", values_to = "concentration") %>%
#rename for easy plotting
mutate(alignment_pretty = case_when(alignment == "particles.kg.master" ~ "Aligned",
alignment == "particles.kg.blank.corrected.particle.corrected" ~ "Unaligned")) %>%
## PLOTTING ##
ggplot(aes(y = concentration, x = apparatus.matrix, color = alignment_pretty)) +
#aligned
geom_boxplot(notch = TRUE, width = 1, size = 1) +
# ggbeeswarm::geom_quasirandom()+
# geom_point(position=position_jitterdodge())+
scale_color_manual(name = "Alignment",
values = hcl(c(0, 240),100,65, alpha=c(1,0.6)),
labels = c("Aligned (1 to 5,000 μm)",
"Unaligned")) +
scale_y_log10(breaks = scales::log_breaks(n = 5),labels = comma_signif,
limits = c(1, 10000))+
# annotation_logticks(sides = "b")+ #log scale rick marks on bottom
ylab(paste0("Particles/kg"))+
theme.type +
theme(
plot.title = element_text(hjust = 0.5, size = 18),
plot.subtitle = element_text(hjust = 0.5, size = 14),
axis.title.x = element_blank(),
legend.title = element_blank(),
legend.position = c(0.8,0.8),
legend.text = element_text(size = 12, face = "bold"),
legend.background = element_rect(fill = "white", color = "black"),
legend.key.size = unit(1.3, 'cm'))
sediment_SFEI_mesh_matrix
####fish
#first transform data
fish_SFEI_mesh_matrix <- sfBay_aligned %>%
filter(source == "SFEI") %>%
filter(particle.fish.master >0,
particles.fish.blank.corrected.particle.corrected > 0) %>%
mutate(apparatus.matrix = paste0(sample.matrix.specific, " (", Sampling.apparatus,")")) %>%
#filter(sample.matrix.specific == "surface water") %>%
drop_na(particle.fish.master) %>%
dplyr::select(c(sampleID, particles.fish.blank.corrected.particle.corrected, particle.fish.master,apparatus.matrix,
#Sampling.apparatus, sample.matrix.specific
)) %>%
pivot_longer(-c(sampleID, apparatus.matrix,
#Sampling.apparatus, sample.matrix.specific
), names_to = "alignment", values_to = "concentration") %>%
#rename for easy plotting
mutate(alignment_pretty = case_when(alignment == "particle.fish.master" ~ "Aligned",
alignment == "particles.fish.blank.corrected.particle.corrected" ~ "Unaligned")) %>%
## PLOTTING ##
ggplot(aes(y = concentration, x = apparatus.matrix, color = alignment_pretty)) +
#aligned
geom_boxplot(notch = TRUE, width = 1, size = 1) +
# ggbeeswarm::geom_quasirandom()+
# geom_point(position=position_jitterdodge())+
scale_color_manual(name = "Alignment",
values = hcl(c(0, 240),100,65, alpha=c(1,0.6)),
labels = c("Aligned (1 to 5,000 μm)",
"Unaligned")) +
scale_y_log10(breaks = scales::log_breaks(n = 5),labels = comma_signif,
limits = c(1, 1000))+
# annotation_logticks(sides = "b")+ #log scale rick marks on bottom
ylab(paste0("Particles/fish"))+
theme.type +
theme(
plot.title = element_text(hjust = 0.5, size = 18),
plot.subtitle = element_text(hjust = 0.5, size = 14),
axis.title.x = element_blank(),
legend.title = element_blank(),
#legend.position = c(0.8,0.8),
legend.text = element_text(size = 14, face = "bold"),
# legend.background = element_rect(fill = "white", color = "black"),
legend.key.size = unit(2, 'cm'))
fish_SFEI_mesh_matrix
#### Arrangement
#get legend
leg <- get_legend(fish_SFEI_mesh_matrix)
#remove legend from other plots
water_SFEI_mesh_matrix <- water_SFEI_mesh_matrix + theme(legend.position = "none")
sediment_SFEI_mesh_matrix <- sediment_SFEI_mesh_matrix + theme(legend.position = "none")
fish_SFEI_mesh_matrix <- fish_SFEI_mesh_matrix + theme(legend.position = "none")
boxplot <- ggarrange(water_SFEI_mesh_matrix, #first row with water matrices
ggarrange(sediment_SFEI_mesh_matrix, fish_SFEI_mesh_matrix, ncol = 2, labels = c("B", "C")), #second row with additional matrices
nrow = 2,
heights = c(1.4, 0.6),
common.legend = TRUE,
legend = "bottom",
labels = c("A"))
boxplot
ggsave(plot = boxplot,
filename = "boxplot.jpg",
path = "output/figures/",
width = 12, height = 9, units = "in",
bg = "white",
dpi = 300)4.1 ANOVA between water matrices for alignment
#easy cleanup
alignment_matrix <- sfBay_aligned %>%
filter(source == "SFEI") %>%
filter(sample.matrix == "water") %>%
filter(particle.L.master >0,
unaligned.particle.L.master > 0) %>%
mutate(apparatus.matrix = paste0(sample.matrix.specific, " (", Sampling.apparatus,")")) %>%
#filter(sample.matrix.specific == "surface water") %>%
drop_na(particle.L.master) %>%
dplyr::select(c(sampleID, unaligned.particle.L.master, particle.L.master,apparatus.matrix,
#Sampling.apparatus, sample.matrix.specific
)) %>%
pivot_longer(-c(sampleID, apparatus.matrix,
#Sampling.apparatus, sample.matrix.specific
), names_to = "alignment", values_to = "concentration") %>%
#rename for easy plotting
mutate(alignment_pretty = case_when(alignment == "particle.L.master" ~ "Aligned",
alignment == "unaligned.particle.L.master" ~ "Unaligned"))
# ANOVA
ANOVA_pre.alignment <- aov(concentration ~ apparatus.matrix,
data = alignment_matrix %>% filter(alignment_pretty == "Unaligned")) #only pre-aligned
summary(ANOVA_pre.alignment)## Df Sum Sq Mean Sq F value Pr(>F)
## apparatus.matrix 3 239.3 79.77 25.22 6.32e-13 ***
## Residuals 130 411.2 3.16
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1tukey_pre <- TukeyHSD(ANOVA_pre.alignment)
tukey_pre_data <- as.data.frame(tukey_pre$apparatus.matrix)
write.csv(tukey_pre_data,
"output/data/tukey_pre_alignment.csv")
tukey_pre## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = concentration ~ apparatus.matrix, data = alignment_matrix %>% filter(alignment_pretty == "Unaligned"))
##
## $apparatus.matrix
## diff
## surface water (1-L grab)-stormwater (depth-integrated perisaltic pump) -1.55176728
## surface water (Manta Trawl)-stormwater (depth-integrated perisaltic pump) -3.79923837
## wastewater (Composite)-stormwater (depth-integrated perisaltic pump) -3.78404542
## surface water (Manta Trawl)-surface water (1-L grab) -2.24747109
## wastewater (Composite)-surface water (1-L grab) -2.23227813
## wastewater (Composite)-surface water (Manta Trawl) 0.01519295
## lwr
## surface water (1-L grab)-stormwater (depth-integrated perisaltic pump) -3.045590
## surface water (Manta Trawl)-stormwater (depth-integrated perisaltic pump) -5.269286
## wastewater (Composite)-stormwater (depth-integrated perisaltic pump) -5.529139
## surface water (Manta Trawl)-surface water (1-L grab) -3.154187
## wastewater (Composite)-surface water (1-L grab) -3.538588
## wastewater (Composite)-surface water (Manta Trawl) -1.263861
## upr
## surface water (1-L grab)-stormwater (depth-integrated perisaltic pump) -0.05794423
## surface water (Manta Trawl)-stormwater (depth-integrated perisaltic pump) -2.32919120
## wastewater (Composite)-stormwater (depth-integrated perisaltic pump) -2.03895196
## surface water (Manta Trawl)-surface water (1-L grab) -1.34075488
## wastewater (Composite)-surface water (1-L grab) -0.92596777
## wastewater (Composite)-surface water (Manta Trawl) 1.29424655
## p adj
## surface water (1-L grab)-stormwater (depth-integrated perisaltic pump) 0.0384711
## surface water (Manta Trawl)-stormwater (depth-integrated perisaltic pump) 0.0000000
## wastewater (Composite)-stormwater (depth-integrated perisaltic pump) 0.0000006
## surface water (Manta Trawl)-surface water (1-L grab) 0.0000000
## wastewater (Composite)-surface water (1-L grab) 0.0001078
## wastewater (Composite)-surface water (Manta Trawl) 0.9999893# ANOVA
ANOVA_post.alignment <- aov(concentration ~ apparatus.matrix,
data = alignment_matrix %>% filter(alignment_pretty == "Aligned")) #only pre-aligned
summary(ANOVA_post.alignment)## Df Sum Sq Mean Sq F value Pr(>F)
## apparatus.matrix 3 1937296 645765 17.35 1.56e-09 ***
## Residuals 130 4839671 37228
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1tukey_post <- TukeyHSD(ANOVA_post.alignment)
tukey_post_data <- as.data.frame(tukey_post$apparatus.matrix)
write.csv(tukey_post_data,
"output/data/tukey_post_alignment.csv")
tukey_post## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = concentration ~ apparatus.matrix, data = alignment_matrix %>% filter(alignment_pretty == "Aligned"))
##
## $apparatus.matrix
## diff
## surface water (1-L grab)-stormwater (depth-integrated perisaltic pump) 20.394533
## surface water (Manta Trawl)-stormwater (depth-integrated perisaltic pump) -224.626701
## wastewater (Composite)-stormwater (depth-integrated perisaltic pump) -227.256588
## surface water (Manta Trawl)-surface water (1-L grab) -245.021234
## wastewater (Composite)-surface water (1-L grab) -247.651121
## wastewater (Composite)-surface water (Manta Trawl) -2.629887
## lwr
## surface water (1-L grab)-stormwater (depth-integrated perisaltic pump) -141.6758
## surface water (Manta Trawl)-stormwater (depth-integrated perisaltic pump) -384.1175
## wastewater (Composite)-stormwater (depth-integrated perisaltic pump) -416.5882
## surface water (Manta Trawl)-surface water (1-L grab) -343.3942
## wastewater (Composite)-surface water (1-L grab) -389.3775
## wastewater (Composite)-surface water (Manta Trawl) -141.3991
## upr
## surface water (1-L grab)-stormwater (depth-integrated perisaltic pump) 182.46490
## surface water (Manta Trawl)-stormwater (depth-integrated perisaltic pump) -65.13587
## wastewater (Composite)-stormwater (depth-integrated perisaltic pump) -37.92497
## surface water (Manta Trawl)-surface water (1-L grab) -146.64825
## wastewater (Composite)-surface water (1-L grab) -105.92469
## wastewater (Composite)-surface water (Manta Trawl) 136.13935
## p adj
## surface water (1-L grab)-stormwater (depth-integrated perisaltic pump) 0.9878199
## surface water (Manta Trawl)-stormwater (depth-integrated perisaltic pump) 0.0020108
## wastewater (Composite)-stormwater (depth-integrated perisaltic pump) 0.0116727
## surface water (Manta Trawl)-surface water (1-L grab) 0.0000000
## wastewater (Composite)-surface water (1-L grab) 0.0000719
## wastewater (Composite)-surface water (Manta Trawl) 0.99995675 SFBay Exceedances
######REMOVE IF FIXING JOIN ABOVE!!!###
sfBay_new <- sfBay_aligned
#make new dataframe to plot both histograms together
sampleSimpleSFEI <- sfBay_new %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
drop_na(Conc) %>%
droplevels()
#make new dataframe to plot both histograms together
dfSFEI <- rbind(sampleSimpleSFEI)#,food.dilution.simple)
#calculate exceedance
dfSFEI_exceedance <- dfSFEI %>%
mutate(aboveThreshold = factor(case_when(
Conc < Threshold1 ~ "below Threshold 1",
Conc >= Threshold1 & Conc < Threshold2 ~ "above Threshold 1",
Conc >= Threshold2 & Conc < Threshold3 ~ "above Threshold 2",
Conc >= Threshold3 & Conc < Threshold4 ~ "above Threshold 3",
Conc >= Threshold4 ~ "above Threshold 4"
)))
#give summary stat for exceedance
exceedance <- dfSFEI_exceedance %>%
filter(Sample.Type == "sample") %>%
dplyr::select(c(Conc, aboveThreshold)) %>%
group_by(aboveThreshold) %>%
dplyr::summarize(n = n()) %>%
mutate(rel.freq = paste0(round(100 * n/sum(n), 0), "%"))
exceedance## # A tibble: 5 x 3
## aboveThreshold n rel.freq
## <fct> <int> <chr>
## 1 above Threshold 1 24 22%
## 2 above Threshold 2 3 3%
## 3 above Threshold 3 11 10%
## 4 above Threshold 4 38 36%
## 5 below Threshold 1 31 29%6 Sensitivity Analysis
To propagate uncertainty between the function of the proportion of plastic particles and correction factor , we approximate the new uncertainty using a 1st order Taylor series.
[https://my.che.utah.edu/~tony/img/Equations/error_prop/10_error_propagation_clip_image002_0004.gif]
probability_distributions.Rmd determines the size power law for marine surface waters in SF Bay of 1.89 +- 0.084 which is used to estiamte the uncertainty here
6.0.0.0.1 Align
https://nicoco007.github.io/Propagation-of-Uncertainty-Calculator/ is used to derive propoagation of uncertaint equation for Alpha
# used online calculator to derive correction factor SD for correction factor for 333 um mesh aligned to 1 to 5,000micron for alpha sd of 0.15
#result: 300.5
CF.1Lgrab.sd <- 29.3
CF.manta.trawl.sd <- 356.7
CF.sediment.sd <- 30.0
CF.stormwater.sd <- 5.5 #(based on 105 um mesh size )
CF.wastewater.sd <- 7.8
CF.fish.sd <- 6.06
#create dataframe with PDFs derived in probability_distributions.Rmd
alignment_factors <- data.frame("matrix" = c("Surface (1L-grab)", "Surface (Manta Trawl)", "Fish", "Storm", "WWTP", "Sediment"),
"CF.sd" = c(CF.1Lgrab.sd, CF.manta.trawl.sd, CF.fish.sd, CF.stormwater.sd, CF.wastewater.sd, CF.sediment.sd),
"alpha" = c(alpha.marine, alpha.marine, alpha.fish, alpha.stormwater, alpha.wastewater, alpha.sediment),
"alpha.sd" = c(alpha.marine.sd, alpha.marine.sd, alpha.fish.sd, alpha.stormwater.sd, alpha.wastewater.sd, alpha.sediment.sd),
"alpha.n" = c (alpha.marine.n, alpha.marine.n, alpha.fish.n, alpha.stormwater.n, alpha.wastewater.n, alpha.sediment.n)) %>%
mutate(alpha.se = alpha.sd / sqrt(alpha.n)) %>%
mutate(alpha.upper.68 = alpha + alpha.se,
alpha.lower.68 = alpha - alpha.se,
alpha.upper.95 = alpha + (1.96*alpha.se),
alpha.lower.95 = alpha - (1.96*alpha.se),
alpha.upper.99 = alpha + (3*alpha.se),
alpha.lower.99 = alpha - (3*alpha.se),
alpha.rsd = alpha.se / alpha) # value that's used in propagation of uncertainty
alignment_factors## matrix CF.sd alpha alpha.sd alpha.n alpha.se alpha.upper.68
## 1 Surface (1L-grab) 29.30 2.00 0.15 23 0.03127716 2.031277
## 2 Surface (Manta Trawl) 356.70 2.00 0.15 23 0.03127716 2.031277
## 3 Fish 6.06 1.75 0.17 15 0.04389381 1.793894
## 4 Storm 5.50 1.87 0.13 22 0.02771609 1.897716
## 5 WWTP 7.80 1.58 0.11 20 0.02459675 1.604597
## 6 Sediment 30.00 2.10 0.12 17 0.02910428 2.129104
## alpha.lower.68 alpha.upper.95 alpha.lower.95 alpha.upper.99 alpha.lower.99
## 1 1.968723 2.061303 1.938697 2.093831 1.906169
## 2 1.968723 2.061303 1.938697 2.093831 1.906169
## 3 1.706106 1.836032 1.663968 1.881681 1.618319
## 4 1.842284 1.924324 1.815676 1.953148 1.786852
## 5 1.555403 1.628210 1.531790 1.653790 1.506210
## 6 2.070896 2.157044 2.042956 2.187313 2.012687
## alpha.rsd
## 1 0.01563858
## 2 0.01563858
## 3 0.02508218
## 4 0.01482144
## 5 0.01556756
## 6 0.01385918sfBay_new2 <- left_join(sfBay_new, alignment_factors, by = "matrix")
#align data for different scenarios
sensitivity <- sfBay_new2 %>%
#derive correction factors
mutate(#CF.upper.68 = CFfnx(a = alpha.upper.68, x1M = x1M, x2M = x2M, x1D = x1D_set, x2D = x2D_set),
CF.upper.95 = CF + (1.96 * (CF.sd / sqrt(alpha.n))),
#CF.upper.99 = CFfnx(a = alpha.upper.99, x1M = x1M, x2M = x2M, x1D = x1D_set, x2D = x2D_set),
#CF.lower.68 = CFfnx(a = alpha.lower.68, x1M = x1M, x2M = x2M, x1D = x1D_set, x2D = x2D_set),
CF.lower.95 = CF - (1.96 * (CF.sd / sqrt(alpha.n))),
#CF.lower.99 = CFfnx(a = alpha.lower.99, x1M = x1M, x2M = x2M, x1D = x1D_set, x2D = x2D_set)
)%>%
#apply correction fcators
mutate(#conc.upper.68 = case_when(sample.matrix.specific == "surface water" ~ CF.upper.68 * unaligned.particle.L.master,
# sample.matrix == "sediment" ~ CF.upper.68 * particles.kg.blank.corrected.particle.corrected,
# sample.matrix == "fish" ~ CF.upper.68 * particles.fish.blank.corrected.particle.corrected),
conc.upper.95 = case_when(sample.matrix == "water" ~ CF.upper.95 * particles.L.blank.corrected.particle.corrected.fiber.corrected,
sample.matrix == "sediment" ~ CF.upper.95 * particles.kg.blank.corrected.particle.corrected,
sample.matrix == "fish" ~ CF.upper.95 * particles.fish.blank.corrected.particle.corrected),
#conc.upper.99 = case_when(sample.matrix.specific == "surface water" ~ CF.upper.99 * unaligned.particle.L.master,
# sample.matrix == "sediment" ~ CF.upper.99 * particles.kg.blank.corrected.particle.corrected,
# sample.matrix == "fish" ~ CF.upper.99 * particles.fish.blank.corrected.particle.corrected),
## lower intervals
# conc.lower.68 = case_when(sample.matrix.specific == "surface water" ~ CF.lower.68 * unaligned.particle.L.master,
# sample.matrix == "sediment" ~ CF.lower.68 * particles.kg.blank.corrected.particle.corrected,
# sample.matrix == "fish" ~ CF.lower.68 * particles.fish.blank.corrected.particle.corrected),
conc.lower.95 = case_when(sample.matrix == "water" ~ CF.lower.95 * particles.L.blank.corrected.particle.corrected.fiber.corrected,
sample.matrix == "sediment" ~ CF.lower.95 * particles.kg.blank.corrected.particle.corrected,
sample.matrix == "fish" ~ CF.lower.95 * particles.fish.blank.corrected.particle.corrected)#,
#conc.lower.99 = case_when(sample.matrix.specific == "surface water" ~ CF.lower.99 * unaligned.particle.L.master,
# sample.matrix == "sediment" ~ CF.lower.99 * particles.kg.blank.corrected.particle.corrected,
# sample.matrix == "fish" ~ CF.lower.99 * particles.fish.blank.corrected.particle.corrected)
) %>%
####propagate uncertainty between alignment and plastic proportion correction####
# first convert uncertainties into percentages
#calcualted relative standard deviation for concentration factor
mutate(CF.rsd = CF.sd / CF) %>%
#calculate plastic proportions relative standard deviation (%)#
mutate(proportion.rsd = proportion.sd / proportion) %>%
#Calculate fiber proportion relative SD (%)##
mutate(fiber.correction.rsd = fiber.correction.sd / fiber.correction) %>%
## next calculate uncertainty of proportion x alignment x fiber correction factor
mutate(combined.rsd = sqrt(CF.rsd ^ 2 + proportion.rsd ^ 2 + fiber.correction.rsd ^ 2)) %>%
#now calculate combined uncertainty
mutate(conc.combined.sd = Conc * combined.rsd) %>%
#now calculate combined CI's
mutate(conc.combined.upper.95 = Conc + 1.96 * (conc.combined.sd / sqrt(fiber.correction.n)), #use smallest N
conc.combined.lower.95 = Conc - 1.96 * (conc.combined.sd / sqrt(fiber.correction.n))) %>%
# #recalculate alignment 95% CI's using actual SD
#mutate(conc.upper.95.alignment = Conc + 1.96 * (surface.water.CF.rsd * unaligned.particle.L.master),
# conc.lower.95.alignment = Conc - 1.96 * (surface.water.CF.rsd * unaligned.particle.L.master))# %>%
# #calculate proportion 95% CI's
mutate(conc.upper.95.proportion = Conc + 1.96 * (proportion.rsd * Conc) / sqrt(proportion.n),
conc.lower.95.proportion = Conc - 1.96 * (proportion.rsd * Conc) / sqrt(proportion.n)) %>%
#Calculate fiber proportion uncertainty
mutate(conc.upper.95.fiber = Conc + 1.96 * (proportion.rsd * Conc) / sqrt(proportion.n),
conc.lower.95.fiber = Conc - 1.96 * (fiber.correction.rsd * Conc) / sqrt(fiber.correction.n))
sensitivity## sampleID
## 1 17-POC-438-125&355
## 2 17-POC-259-125&355
## 3 20180406MMPStormSBCCMP125&355
## 4 17-POC-283-125&355
## 5 17-POC-515-125&355
## 6 17-POC-100-125&355
## 7 17-POC-130-125&355
## 8 17GR-003-125&355
## 9 20180108MMPStormSBSMMP125&355
## 10 20180108MMPStormCBMeek125&355
## 11 20180108MMPStormCBEmery125&355
## 12 19-POC-198-125&355
## 13 EBDA Aug 31 2017
## 14 EBDA Sept 26 2017
## 15 EBMUD Aug 22 2017
## 16 EBMUD Sept 26 2017
## 17 PA Aug 1 2017
## 18 PA July 20 2017 A
## 19 SJ Aug 10 2017
## 20 SJ Sept 19 2017
## 21 SUNN Sept 19 2017
## 22 CCCSD Sept 7 2017
## 23 FSSD Aug 23 2017
## 24 FSSD Sept 7 2017
## 25 EBMUD Oct 20 2017
## 26 SFPUC Nov 6 2017
## 27 SFPUC Nov 7 2017
## 28 SUNN Oct 17 2017
## 29 CCCSD Dec 6 2017
## 30 AN LSB06_1
## 31 AN LSB06_2
## 32 AN LSB06_4
## 33 TS LSB06_1
## 34 TS LSB06_2
## 35 TS LSB06_3
## 36 TS LSB06_4
## 37 AN LSB06_3
## 38 TS LSB06_5
## 39 TS LSB06_6
## 40 TS LSB06_7
## 41 TS LSB06_8
## 42 TS LSB06_9
## 43 TS LSB06_10
## 44 AN TB101_1
## 45 AN TB101_2
## 46 AN TB101_3
## 47 AN TB101_4
## 48 AN TB101_5
## 49 AN TB101_6
## 50 AN TB101_7
## 51 AN TB101_8
## 52 AN TB101_9
## 53 AN TB101_10
## 54 AN TB102_1
## 55 AN TB102_2
## 56 AN TB102_3
## 57 AN TB102_4
## 58 AN TB102_5
## 59 AN TB102_6
## 60 AN TB102_7
## 61 AN TB102_8
## 62 AN TB102_9
## 63 AN TB102_10
## 64 TS TB101_1
## 65 TS TB101_2
## 66 TS TB101_3
## 67 TS TB101_4
## 68 TS TB101_5
## 69 TS TB101_6
## 70 TS TB101_7
## 71 TS TB101_8
## 72 TS TB101_9
## 73 TS TB101_10
## 74 TS CB106_1
## 75 TS CB106_2
## 76 TS CB106_3
## 77 TS CB106_4
## 78 TS CB106_5
## 79 TS CB106_6
## 80 TS CB106_7
## 81 TS CB106_8
## 82 TS CB106_9
## 83 TS CB106_10
## 84 AN CB106_1
## 85 AN CB106_2
## 86 AN CB106_3
## 87 AN CB106_4
## 88 AN CB106_5
## 89 AN CB106_6
## 90 AN CB106_7
## 91 AN CB106_8
## 92 AN CB106_9
## 93 AN CB106_10
## 94 AN CB010_1
## 95 AN CB010_2
## 96 AN CB010_4
## 97 AN CB010_3
## 98 AN CB010_5
## 99 AN CB010_6
## 100 AN CB010_7
## 101 AN CB010_8
## 102 AN CB010_9
## 103 AN CB010_10
## 104 TS CB010_1
## 105 TS CB010_2
## 106 TS CB010_3
## 107 TS CB010_4
## 108 TS CB010_5
## 109 TS CB010_6
## 110 TS CB010_7
## 111 TS CB010_8
## 112 AN SOSL40_1
## 113 AN SOSL40_2
## 114 AN SOSL40_3
## 115 AN SOSL40_4
## 116 AN SOSL40_5
## 117 AN SOSL40_6
## 118 AN SOSL40_7
## 119 AN SOSL40_8
## 120 AN SOSL40_9
## 121 AN SOSL40_10
## 122 AN SB074_1
## 123 AN SB074_2
## 124 AN SB074_3
## 125 AN SB074_4
## 126 AN SB074_5
## 127 AN SB074_6
## 128 AN SB074_7
## 129 AN SB074_8
## 130 AN SB074_9
## 131 AN SB074_10
## 132 TS SB074_1
## 133 TS SB074_2
## 134 TS SB074_3
## 135 TS SB074_4
## 136 TS SB074_5
## 137 TS SB074_6
## 138 TS SB074_7
## 139 TS SB074_8
## 140 TS SB074_9
## 141 TS SB074_10
## 142 AN CB037_1
## 143 AN CB037_2
## 144 AN CB037_3
## 145 AN CB037_4
## 146 AN CB037_5
## 147 AN CB037_6
## 148 AN CB037_7
## 149 AN CB037_8
## 150 AN CB037_9
## 151 AN CB037_10
## 152 TS CB037_1
## 153 TS CB037_2
## 154 TS CB037_3
## 155 TS CB037_4
## 156 TS CB037_5
## 157 TS CB037_6
## 158 TS CB037_7
## 159 TS CB037_8
## 160 TS CB037_9
## 161 TS CB037_10
## 162 TS SOSL40_1
## 163 TS SOSL40_2
## 164 TS SOSL40_3
## 165 TS SOSL40_4
## 166 TS SOSL40_5
## 167 TS SOSL40_6
## 168 TS SOSL40_7
## 169 TS SOSL40_8
## 170 TS SOSL40_9
## 171 TS SOSL40_10
## 172 TS TB102_1
## 173 TS TB102_2
## 174 TS TB102_3
## 175 TS TB102_4
## 176 TS TB102_5
## 177 TS TB102_6
## 178 TS TB102_7
## 179 TS TB102_8
## 180 TS TB102_9
## 181 TS TB102_10
## 182 RMP_14SC_1153
## 183 15RMPMC_CB10_MP1
## 184 15RMPMC-CB15-MP1
## 185 15RMPMC_CB32_MP1
## 186 15RMPC_CB37_MP1
## 187 17MMP_S_LSB02_MP_1
## 188 17MMP_S_LSB04_MP_1
## 189 17MMP-S-LSB06-MP
## 190 15RMP_14SC_1270
## 191 17MMP_S_SB051_MP_1
## 192 17MMP_SB056_MP_1
## 193 17MMP_S_SB074_MP_1
## 194 17MMP_S_SOSL16_MP_1
## 195 17MMP_S_SOSL40_MP1
## 196 17MMP-S-SPB128-MP
## 197 17MMP_S_SPB15_MP1
## 198 17MMP-S-SUB52-MP
## 199 17MMP_S_SUB53_MP
## 200 17MMP_S_TB101_MP
## 201 17MMP_S_TB102_MP
## 202 CB4 Aug 21
## 203 CB4 Richmond Bdg Nov 16
## 204 CB5 Aug 22
## 205 CB5 Nov 16
## 206 CB5 Nov 5
## 207 CB6 Aug 22
## 208 CB6 Nov 16
## 209 CB7 Aug 22 DUP
## 210 CB7 Bay Bridge Nov 16
## 211 CB8 Aug 25
## 212 CB8 Jan 11
## 213 CB9 Aug 22
## 214 CB9 Jan 11 Total
## 215 CBNMS22 Mar 30
## 216 CBNMS22 Sept 12
## 217 CBNMS23 Mar 29
## 218 CBNMS23 Sept 12
## 219 CBNMS24 Sept 13
## 220 GFNMS24 Mar 29
## 221 GFNMS25 Mar 30
## 222 GFNMS25 Sept 11
## 223 GFNMS26 Mar 29
## 224 GFNMS26 Sept 12
## 225 GFNMS27 March 29
## 226 GFNMS27 Sept 13
## 227 GFNMS28 Mar 30
## 228 GFNMS28 DUP Sept 13
## 229 LSB14 Aug 24
## 230 LSB14 Mar 6
## 231 LSB15 Aug 24
## 232 LSB15 Mar 6
## 233 LSB16 Aug 24
## 234 LSB16 Mar 6
## 235 MBNMS29 Jan 11 2018
## 236 MBNMS29 Mar 30
## 237 MBNMS29 Nov 17 2017
## 238 MBNMS29 Sept 13
## 239 MBNMS30 Mar 31
## 240 MBNMS30 Sept 27
## 241 MBNMS31 Mar 31
## 242 MBNMS31 Sept 27
## 243 MBNMS32 Mar 31
## 244 MBNMS32 Sept 27
## 245 SB10 Aug 23
## 246 SB10 Mar 19
## 247 SB11 Aug 23
## 248 SB11 Mar 19
## 249 SB12 Aug 23
## 250 SB12 Mar 19
## 251 SB13 Aug 23
## 252 SB13 Mar 19
## 253 SF Bay Treasure Island Sept 18
## 254 SPB2 Aug 21 2017
## 255 SPB2 Nov 16
## 256 SPB3 Aug 21
## 257 SPB3 Nov 17
## 258 SUB1 Aug 21
## 259 SUB1 Nov 17
## 260 CB4 Aug 21 grab
## 261 CB4 Nov 22 grab
## 262 CB5 Aug 22 grab
## 263 CB5 Nov 22 grab
## 264 CB6 Aug 22 grab
## 265 CB6 Nov 22 grab
## 266 CB7 Aug 22 grab
## 267 CB7 Nov 22 grab
## 268 CB8 Aug 22 grab
## 269 CB8 Jan 11 grab
## 270 CB9 Aug 22 grab
## 271 CB9 Jan 22 grab
## 272 CBNMS22 Sept 12 grab
## 273 CBNMS23 Sep 22 grab
## 274 CBNMS24 Sep 22 grab
## 275 GFNMS/MBNMS29 Jan 22 grab
## 276 GFNMS25 Mar 22 grab
## 277 GFNMS25 Sept 11 grab
## 278 GFNMS26 Sept 12 grab
## 279 GFNMS27 Sep 22 grab
## 280 GFNMS28 (DUP for Manta) Sep 22 grab
## 281 LSB14 Mar 22 grab
## 282 LSB15 (corrected from LSB14 to LSB15) Mar 22 grab
## 283 LSB16 Aug 22 grab
## 284 LSB16 Mar 22 grab
## 285 MBNMS26 (GFNMS26 on bottle) Mar 22 grab
## 286 MBNMS28 (GFNMS28?) Mar 22 grab
## 287 MBNMS29 Mar 30 grab
## 288 MBNMS29 Nov 22 grab
## 289 MBNMS29 Sept 13 grab
## 290 MBNMS30 Mar 30 (Mar 31 for Manta) grab
## 291 MBNMS30 Sep 22 grab
## 292 MBNMS31 Mar 22 grab
## 293 MBNMS31 Sep 22 grab
## 294 MBNMS32 Mar 22 grab
## 295 MBNMS32 Sep 22 grab
## 296 SB10 Aug 22 grab
## 297 SB10 Mar 22 grab
## 298 SB11 Aug 22 grab
## 299 SB11 Mar 22 grab
## 300 SB12 Mar 19 grab
## 301 SB13 Aug 23 grab
## 302 SB13 Mar 22 grab
## 303 SPB2 Aug 21 2017 grab
## 304 SPB2 Nov 16 grab
## 305 SPB3 Aug 22 grab
## 306 SPB3 Nov 22 grab
## 307 SUB1 Aug 22 grab
## 308 SUB1 Nov 22 grab
## specific.location System Sampling.location
## 1 Rodeo Creek at Seacliff Ct Pedestrian Br Estuary <NA>
## 2 Refugio Creek at Tsushima St Estuary <NA>
## 3 Coyote Creek Estuary <NA>
## 4 Colma Ck at S. Linden Blvd Estuary <NA>
## 5 Line 12K at Coliseum Entrance Estuary <NA>
## 6 Line 12F below PG&E station Estuary <NA>
## 7 Line 12J at mouth to 12K Estuary <NA>
## 8 Guadalupe River at Highway 101 Estuary <NA>
## 9 San Mateo Creek Estuary <NA>
## 10 Meeker Slough at Regatta Blvd Estuary <NA>
## 11 MMP-Storm-CB-Emery Estuary <NA>
## 12 12M Rep1 Estuary <NA>
## 13 <NA> Estuary <NA>
## 14 <NA> Estuary <NA>
## 15 <NA> Estuary <NA>
## 16 <NA> Estuary <NA>
## 17 <NA> Estuary <NA>
## 18 <NA> Estuary <NA>
## 19 <NA> Estuary <NA>
## 20 <NA> Estuary <NA>
## 21 <NA> Estuary <NA>
## 22 <NA> Estuary <NA>
## 23 <NA> Estuary <NA>
## 24 <NA> Estuary <NA>
## 25 <NA> Estuary <NA>
## 26 <NA> Estuary <NA>
## 27 <NA> Estuary <NA>
## 28 <NA> Estuary <NA>
## 29 <NA> Estuary <NA>
## 30 <NA> Estuary Lower South Bay
## 31 <NA> Estuary Lower South Bay
## 32 <NA> Estuary Lower South Bay
## 33 <NA> Estuary Lower South Bay
## 34 <NA> Estuary Lower South Bay
## 35 <NA> Estuary Lower South Bay
## 36 <NA> Estuary Lower South Bay
## 37 <NA> Estuary Lower South Bay
## 38 <NA> Estuary Lower South Bay
## 39 <NA> Estuary Lower South Bay
## 40 <NA> Estuary Lower South Bay
## 41 <NA> Estuary Lower South Bay
## 42 <NA> Estuary Lower South Bay
## 43 <NA> Estuary Lower South Bay
## 44 <NA> Estuary Tomales Bay
## 45 <NA> Estuary Tomales Bay
## 46 <NA> Estuary Tomales Bay
## 47 <NA> Estuary Tomales Bay
## 48 <NA> Estuary Tomales Bay
## 49 <NA> Estuary Tomales Bay
## 50 <NA> Estuary Tomales Bay
## 51 <NA> Estuary Tomales Bay
## 52 <NA> Estuary Tomales Bay
## 53 <NA> Estuary Tomales Bay
## 54 <NA> Estuary Tomales Bay
## 55 <NA> Estuary Tomales Bay
## 56 <NA> Estuary Tomales Bay
## 57 <NA> Estuary Tomales Bay
## 58 <NA> Estuary Tomales Bay
## 59 <NA> Estuary Tomales Bay
## 60 <NA> Estuary Tomales Bay
## 61 <NA> Estuary Tomales Bay
## 62 <NA> Estuary Tomales Bay
## 63 <NA> Estuary Tomales Bay
## 64 <NA> Estuary Tomales Bay
## 65 <NA> Estuary Tomales Bay
## 66 <NA> Estuary Tomales Bay
## 67 <NA> Estuary Tomales Bay
## 68 <NA> Estuary Tomales Bay
## 69 <NA> Estuary Tomales Bay
## 70 <NA> Estuary Tomales Bay
## 71 <NA> Estuary Tomales Bay
## 72 <NA> Estuary Tomales Bay
## 73 <NA> Estuary Tomales Bay
## 74 <NA> Estuary Central Bay
## 75 <NA> Estuary Central Bay
## 76 <NA> Estuary Central Bay
## 77 <NA> Estuary Central Bay
## 78 <NA> Estuary Central Bay
## 79 <NA> Estuary Central Bay
## 80 <NA> Estuary Central Bay
## 81 <NA> Estuary Central Bay
## 82 <NA> Estuary Central Bay
## 83 <NA> Estuary Central Bay
## 84 <NA> Estuary Central Bay
## 85 <NA> Estuary Central Bay
## 86 <NA> Estuary Central Bay
## 87 <NA> Estuary Central Bay
## 88 <NA> Estuary Central Bay
## 89 <NA> Estuary Central Bay
## 90 <NA> Estuary Central Bay
## 91 <NA> Estuary Central Bay
## 92 <NA> Estuary Central Bay
## 93 <NA> Estuary Central Bay
## 94 <NA> Estuary Central Bay
## 95 <NA> Estuary Central Bay
## 96 <NA> Estuary Central Bay
## 97 <NA> Estuary Central Bay
## 98 <NA> Estuary Central Bay
## 99 <NA> Estuary Central Bay
## 100 <NA> Estuary Central Bay
## 101 <NA> Estuary Central Bay
## 102 <NA> Estuary Central Bay
## 103 <NA> Estuary Central Bay
## 104 <NA> Estuary Central Bay
## 105 <NA> Estuary Central Bay
## 106 <NA> Estuary Central Bay
## 107 <NA> Estuary Central Bay
## 108 <NA> Estuary Central Bay
## 109 <NA> Estuary Central Bay
## 110 <NA> Estuary Central Bay
## 111 <NA> Estuary Central Bay
## 112 <NA> Estuary <NA>
## 113 <NA> Estuary <NA>
## 114 <NA> Estuary <NA>
## 115 <NA> Estuary <NA>
## 116 <NA> Estuary <NA>
## 117 <NA> Estuary <NA>
## 118 <NA> Estuary <NA>
## 119 <NA> Estuary <NA>
## 120 <NA> Estuary <NA>
## 121 <NA> Estuary <NA>
## 122 <NA> Estuary South Bay
## 123 <NA> Estuary South Bay
## 124 <NA> Estuary South Bay
## 125 <NA> Estuary South Bay
## 126 <NA> Estuary South Bay
## 127 <NA> Estuary South Bay
## 128 <NA> Estuary South Bay
## 129 <NA> Estuary South Bay
## 130 <NA> Estuary South Bay
## 131 <NA> Estuary South Bay
## 132 <NA> Estuary South Bay
## 133 <NA> Estuary South Bay
## 134 <NA> Estuary South Bay
## 135 <NA> Estuary South Bay
## 136 <NA> Estuary South Bay
## 137 <NA> Estuary South Bay
## 138 <NA> Estuary South Bay
## 139 <NA> Estuary South Bay
## 140 <NA> Estuary South Bay
## 141 <NA> Estuary South Bay
## 142 <NA> Estuary Central Bay
## 143 <NA> Estuary Central Bay
## 144 <NA> Estuary Central Bay
## 145 <NA> Estuary Central Bay
## 146 <NA> Estuary Central Bay
## 147 <NA> Estuary Central Bay
## 148 <NA> Estuary Central Bay
## 149 <NA> Estuary Central Bay
## 150 <NA> Estuary Central Bay
## 151 <NA> Estuary Central Bay
## 152 <NA> Estuary Central Bay
## 153 <NA> Estuary Central Bay
## 154 <NA> Estuary Central Bay
## 155 <NA> Estuary Central Bay
## 156 <NA> Estuary Central Bay
## 157 <NA> Estuary Central Bay
## 158 <NA> Estuary Central Bay
## 159 <NA> Estuary Central Bay
## 160 <NA> Estuary Central Bay
## 161 <NA> Estuary Central Bay
## 162 <NA> Estuary SOSL
## 163 <NA> Estuary SOSL
## 164 <NA> Estuary SOSL
## 165 <NA> Estuary SOSL
## 166 <NA> Estuary SOSL
## 167 <NA> Estuary SOSL
## 168 <NA> Estuary SOSL
## 169 <NA> Estuary SOSL
## 170 <NA> Estuary SOSL
## 171 <NA> Estuary SOSL
## 172 <NA> Estuary Tomales Bay
## 173 <NA> Estuary Tomales Bay
## 174 <NA> Estuary Tomales Bay
## 175 <NA> Estuary Tomales Bay
## 176 <NA> Estuary Tomales Bay
## 177 <NA> Estuary Tomales Bay
## 178 <NA> Estuary Tomales Bay
## 179 <NA> Estuary Tomales Bay
## 180 <NA> Estuary Tomales Bay
## 181 <NA> Estuary Tomales Bay
## 182 <NA> Estuary SC
## 183 <NA> Estuary Central Bay
## 184 <NA> Estuary Central Bay
## 185 <NA> Estuary Central Bay
## 186 <NA> Estuary Central Bay
## 187 <NA> Estuary Lower South Bay
## 188 <NA> Estuary Lower South Bay
## 189 <NA> Estuary Lower South Bay
## 190 <NA> Estuary SC
## 191 <NA> Estuary South Bay
## 192 <NA> Estuary South Bay
## 193 <NA> Estuary South Bay
## 194 <NA> Estuary SOSL
## 195 <NA> Estuary SOSL
## 196 <NA> Estuary SPB
## 197 <NA> Estuary SPB
## 198 <NA> Estuary SUB
## 199 <NA> Estuary SUB
## 200 <NA> Estuary Tomales Bay
## 201 <NA> Estuary Tomales Bay
## 202 <NA> Estuary Central Bay
## 203 <NA> Estuary Central Bay
## 204 <NA> Estuary Central Bay
## 205 <NA> Estuary Central Bay
## 206 <NA> Estuary Central Bay
## 207 <NA> Estuary Central Bay
## 208 <NA> Estuary Central Bay
## 209 <NA> Estuary Central Bay
## 210 <NA> Estuary Central Bay
## 211 <NA> Estuary Central Bay
## 212 <NA> Estuary Central Bay
## 213 <NA> Estuary Central Bay
## 214 <NA> Estuary Central Bay
## 215 <NA> Estuary National Marine Sancturay
## 216 <NA> Estuary National Marine Sancturay
## 217 <NA> Estuary National Marine Sancturay
## 218 <NA> Estuary National Marine Sancturay
## 219 <NA> Estuary National Marine Sancturay
## 220 <NA> Estuary National Marine Sancturay
## 221 <NA> Estuary National Marine Sancturay
## 222 <NA> Estuary National Marine Sancturay
## 223 <NA> Estuary National Marine Sancturay
## 224 <NA> Estuary National Marine Sancturay
## 225 <NA> Estuary National Marine Sancturay
## 226 <NA> Estuary National Marine Sancturay
## 227 <NA> Estuary National Marine Sancturay
## 228 <NA> Estuary National Marine Sancturay
## 229 <NA> Estuary Lower South Bay
## 230 <NA> Estuary Lower South Bay
## 231 <NA> Estuary Lower South Bay
## 232 <NA> Estuary Lower South Bay
## 233 <NA> Estuary Lower South Bay
## 234 <NA> Estuary Lower South Bay
## 235 <NA> Estuary National Marine Sancturay
## 236 <NA> Estuary National Marine Sancturay
## 237 <NA> Estuary National Marine Sancturay
## 238 <NA> Estuary National Marine Sancturay
## 239 <NA> Estuary National Marine Sancturay
## 240 <NA> Estuary National Marine Sancturay
## 241 <NA> Estuary National Marine Sancturay
## 242 <NA> Estuary National Marine Sancturay
## 243 <NA> Estuary National Marine Sancturay
## 244 <NA> Estuary National Marine Sancturay
## 245 <NA> Estuary South Bay
## 246 <NA> Estuary South Bay
## 247 <NA> Estuary South Bay
## 248 <NA> Estuary South Bay
## 249 <NA> Estuary South Bay
## 250 <NA> Estuary South Bay
## 251 <NA> Estuary South Bay
## 252 <NA> Estuary South Bay
## 253 <NA> Estuary Treasure Island
## 254 <NA> Estuary SPB
## 255 <NA> Estuary SPB
## 256 <NA> Estuary SPB
## 257 <NA> Estuary SPB
## 258 <NA> Estuary SUB
## 259 <NA> Estuary SUB
## 260 <NA> Estuary Central Bay
## 261 <NA> Estuary Central Bay
## 262 <NA> Estuary Central Bay
## 263 <NA> Estuary Central Bay
## 264 <NA> Estuary Central Bay
## 265 <NA> Estuary Central Bay
## 266 <NA> Estuary Central Bay
## 267 <NA> Estuary Central Bay
## 268 <NA> Estuary Central Bay
## 269 <NA> Estuary Central Bay
## 270 <NA> Estuary Central Bay
## 271 <NA> Estuary Central Bay
## 272 <NA> Estuary National Marine Sancturay
## 273 <NA> Estuary National Marine Sancturay
## 274 <NA> Estuary National Marine Sancturay
## 275 <NA> Estuary National Marine Sancturay
## 276 <NA> Estuary National Marine Sancturay
## 277 <NA> Estuary National Marine Sancturay
## 278 <NA> Estuary National Marine Sancturay
## 279 <NA> Estuary National Marine Sancturay
## 280 <NA> Estuary National Marine Sancturay
## 281 <NA> Estuary Lower South Bay
## 282 <NA> Estuary Lower South Bay
## 283 <NA> Estuary Lower South Bay
## 284 <NA> Estuary Lower South Bay
## 285 <NA> Estuary National Marine Sancturay
## 286 <NA> Estuary National Marine Sancturay
## 287 <NA> Estuary National Marine Sancturay
## 288 <NA> Estuary National Marine Sancturay
## 289 <NA> Estuary National Marine Sancturay
## 290 <NA> Estuary National Marine Sancturay
## 291 <NA> Estuary National Marine Sancturay
## 292 <NA> Estuary National Marine Sancturay
## 293 <NA> Estuary National Marine Sancturay
## 294 <NA> Estuary National Marine Sancturay
## 295 <NA> Estuary National Marine Sancturay
## 296 <NA> Estuary South Bay
## 297 <NA> Estuary South Bay
## 298 <NA> Estuary South Bay
## 299 <NA> Estuary South Bay
## 300 <NA> Estuary South Bay
## 301 <NA> Estuary South Bay
## 302 <NA> Estuary South Bay
## 303 <NA> Estuary SPB
## 304 <NA> Estuary SPB
## 305 <NA> Estuary SPB
## 306 <NA> Estuary SPB
## 307 <NA> Estuary SUB
## 308 <NA> Estuary SUB
## latitude longitude particles.L.blank.corrected
## 1 38.016 -122.254 1.6300000
## 2 38.018 -122.277 1.6500000
## 3 37.385832 -121.909581 7.2000000
## 4 37.65 -122.412 5.6300000
## 5 37.754 -122.204 4.9400000
## 6 37.762 -122.214 8.4300000
## 7 37.755 -122.201 10.0600000
## 8 37.37356 -121.93283 2.3100000
## 9 37.572638 -122.310769 1.0900000
## 10 37.917861 -122.33838 17.8400000
## 11 37.83429 -122.29349 12.3600000
## 12 37.746843 -122.200699 24.4100000
## 13 37.6952 -122.1858 0.0645000
## 14 37.6952 -122.1858 0.0115000
## 15 37.8236 -122.2956 0.1778000
## 16 37.8236 -122.2956 0.0421000
## 17 37.4527 -122.1108 0.0030000
## 18 37.4527 -122.1108 0.0054000
## 19 37.4332 -121.9522 0.0186000
## 20 37.4332 -121.9522 0.0233000
## 21 37.4193 -122.0162 0.0222000
## 22 37.9961 -122.0686 0.0778000
## 23 38.2233 -122.0829 0.0037000
## 24 38.2233 -122.0829 0.0055000
## 25 37.8236 -122.2956 0.1083000
## 26 37.7476 -122.3728 0.1593000
## 27 37.7476 -122.3728 0.1816000
## 28 37.4193 -122.0162 0.0075000
## 29 37.9961 -122.0686 0.0683000
## 30 37.4576 -122.0921 NA
## 31 37.4576 -122.0921 NA
## 32 37.4576 -122.0921 NA
## 33 37.4576 -122.0921 NA
## 34 37.4576 -122.0921 NA
## 35 37.4576 -122.0921 NA
## 36 37.4576 -122.0921 NA
## 37 37.4576 -122.0921 NA
## 38 37.4576 -122.0921 NA
## 39 37.4576 -122.0921 NA
## 40 37.4576 -122.0921 NA
## 41 37.4576 -122.0921 NA
## 42 37.4576 -122.0921 NA
## 43 37.4576 -122.0921 NA
## 44 38.2093 -122.9292 NA
## 45 38.2093 -122.9292 NA
## 46 38.2093 -122.9292 NA
## 47 38.2093 -122.9292 NA
## 48 38.2093 -122.9292 NA
## 49 38.2093 -122.9292 NA
## 50 38.2093 -122.9292 NA
## 51 38.2093 -122.9292 NA
## 52 38.2093 -122.9292 NA
## 53 38.2093 -122.9292 NA
## 54 38.0908 -122.8358 NA
## 55 38.0908 -122.8358 NA
## 56 38.0908 -122.8358 NA
## 57 38.0908 -122.8358 NA
## 58 38.0908 -122.8358 NA
## 59 38.0908 -122.8358 NA
## 60 38.0908 -122.8358 NA
## 61 38.0908 -122.8358 NA
## 62 38.0908 -122.8358 NA
## 63 38.0908 -122.8358 NA
## 64 38.2093 -122.9292 NA
## 65 38.2093 -122.9292 NA
## 66 38.2093 -122.9292 NA
## 67 38.2093 -122.9292 NA
## 68 38.2093 -122.9292 NA
## 69 38.2093 -122.9292 NA
## 70 38.2093 -122.9292 NA
## 71 38.2093 -122.9292 NA
## 72 38.2093 -122.9292 NA
## 73 38.2093 -122.9292 NA
## 74 37.7579 -122.3055 NA
## 75 37.7579 -122.3055 NA
## 76 37.7579 -122.3055 NA
## 77 37.7579 -122.3055 NA
## 78 37.7579 -122.3055 NA
## 79 37.7579 -122.3055 NA
## 80 37.7579 -122.3055 NA
## 81 37.7579 -122.3055 NA
## 82 37.7579 -122.3055 NA
## 83 37.7579 -122.3055 NA
## 84 37.7579 -122.3055 NA
## 85 37.7579 -122.3055 NA
## 86 37.7579 -122.3055 NA
## 87 37.7579 -122.3055 NA
## 88 37.7579 -122.3055 NA
## 89 37.7579 -122.3055 NA
## 90 37.7579 -122.3055 NA
## 91 37.7579 -122.3055 NA
## 92 37.7579 -122.3055 NA
## 93 37.7579 -122.3055 NA
## 94 37.9067 -122.3467 NA
## 95 37.9067 -122.3467 NA
## 96 37.9067 -122.3467 NA
## 97 37.9067 -122.3467 NA
## 98 37.9067 -122.3467 NA
## 99 37.9067 -122.3467 NA
## 100 37.9067 -122.3467 NA
## 101 37.9067 -122.3467 NA
## 102 37.9067 -122.3467 NA
## 103 37.9067 -122.3467 NA
## 104 37.9067 -122.3467 NA
## 105 37.9067 -122.3467 NA
## 106 37.9067 -122.3467 NA
## 107 37.9067 -122.3467 NA
## 108 37.9067 -122.3467 NA
## 109 37.9067 -122.3467 NA
## 110 37.9067 -122.3467 NA
## 111 37.9067 -122.3467 NA
## 112 37.4621 -122.0217 NA
## 113 37.4621 -122.0217 NA
## 114 37.4621 -122.0217 NA
## 115 37.4621 -122.0217 NA
## 116 37.4621 -122.0217 NA
## 117 37.4621 -122.0217 NA
## 118 37.4621 -122.0217 NA
## 119 37.4621 -122.0217 NA
## 120 37.4621 -122.0217 NA
## 121 37.4621 -122.0217 NA
## 122 37.5277 -122.184 NA
## 123 37.5277 -122.184 NA
## 124 37.5277 -122.184 NA
## 125 37.5277 -122.184 NA
## 126 37.5277 -122.184 NA
## 127 37.5277 -122.184 NA
## 128 37.5277 -122.184 NA
## 129 37.5277 -122.184 NA
## 130 37.5277 -122.184 NA
## 131 37.5277 -122.184 NA
## 132 37.5277 -122.184 NA
## 133 37.5277 -122.184 NA
## 134 37.5277 -122.184 NA
## 135 37.5277 -122.184 NA
## 136 37.5277 -122.184 NA
## 137 37.5277 -122.184 NA
## 138 37.5277 -122.184 NA
## 139 37.5277 -122.184 NA
## 140 37.5277 -122.184 NA
## 141 37.5277 -122.184 NA
## 142 37.6414 -122.3945 NA
## 143 37.6414 -122.3945 NA
## 144 37.6414 -122.3945 NA
## 145 37.6414 -122.3945 NA
## 146 37.6414 -122.3945 NA
## 147 37.6414 -122.3945 NA
## 148 37.6414 -122.3945 NA
## 149 37.6414 -122.3945 NA
## 150 37.6414 -122.3945 NA
## 151 37.6414 -122.3945 NA
## 152 37.6414 -122.3945 NA
## 153 37.6414 -122.3945 NA
## 154 37.6414 -122.3945 NA
## 155 37.6414 -122.3945 NA
## 156 37.6414 -122.3945 NA
## 157 37.6414 -122.3945 NA
## 158 37.6414 -122.3945 NA
## 159 37.6414 -122.3945 NA
## 160 37.6414 -122.3945 NA
## 161 37.6414 -122.3945 NA
## 162 37.4621 -122.0217 NA
## 163 37.4621 -122.0217 NA
## 164 37.4621 -122.0217 NA
## 165 37.4621 -122.0217 NA
## 166 37.4621 -122.0217 NA
## 167 37.4621 -122.0217 NA
## 168 37.4621 -122.0217 NA
## 169 37.4621 -122.0217 NA
## 170 37.4621 -122.0217 NA
## 171 37.4621 -122.0217 NA
## 172 38.0908 -122.8358 NA
## 173 38.0908 -122.8358 NA
## 174 38.0908 -122.8358 NA
## 175 38.0908 -122.8358 NA
## 176 38.0908 -122.8358 NA
## 177 38.0908 -122.8358 NA
## 178 38.0908 -122.8358 NA
## 179 38.0908 -122.8358 NA
## 180 38.0908 -122.8358 NA
## 181 38.0908 -122.8358 NA
## 182 37.8766 -122.3615 NA
## 183 37.9067 -122.3467 NA
## 184 37.8279 -122.3034 NA
## 185 37.7566 -122.2204 NA
## 186 37.6414 -122.3945 NA
## 187 37.4628 -122.105 NA
## 188 37.4864 -122.069 NA
## 189 37.4576 -122.092 NA
## 190 37.6104 -122.167 NA
## 191 37.6018 -122.362 NA
## 192 37.5605 -122.131 NA
## 193 37.5277 -122.184 NA
## 194 37.4576 -122.04 NA
## 195 37.4621 -122.022 NA
## 196 38.0157 -122.3002 NA
## 197 38.1084 -122.4881 NA
## 198 38.1362 -122.035 NA
## 199 38.0441 -122.0969 NA
## 200 38.2093 -122.9292 NA
## 201 38.0908 -122.8358 NA
## 202 37.92 -122.44 0.0000230
## 203 37.92 -122.43 0.0061140
## 204 37.84 -122.42 0.0004390
## 205 37.85 -122.41 0.0018880
## 206 37.85 -122.41 0.0005110
## 207 37.83 -122.32 0.0000830
## 208 37.83 -122.32 0.0004640
## 209 N/A N/A 0.0007740
## 210 37.78 -122.35 0.0007290
## 211 37.75 -122.23 0.0022650
## 212 37.75 -122.23 0.0043430
## 213 37.69 -122.29 0.0001880
## 214 37.69 -122.3 0.0555910
## 215 38.1 -123.11 0.0000880
## 216 38.11 -123.11 0.0001630
## 217 38.02 -123.33 0.0001260
## 218 38.03 -123.31 0.0001390
## 219 37.99 -123.5 0.0000000
## 220 N/A N/A 0.0000230
## 221 37.97 -122.93 0.0002180
## 222 37.97 -122.93 0.0000200
## 223 37.82 -123.02 0.0000790
## 224 37.82 -123.01 0.0001390
## 225 37.75 -123.26 0.0000780
## 226 37.73 -123.26 0.0000050
## 227 37.81 -122.76 0.0000960
## 228 37.81 -122.76 0.0000560
## 229 37.47 -122.06 0.0009820
## 230 37.48 -122.08 0.0002660
## 231 37.46 -122.08 0.0003570
## 232 37.47 -122.09 0.0002480
## 233 37.46 -122.03 0.0001530
## 234 37.45 -122.03 0.0005160
## 235 37.81 -122.47 0.0003960
## 236 37.79 -122.5 0.0002940
## 237 37.8 -122.5 0.0002730
## 238 37.81 -122.51 0.0000190
## 239 37.67 -122.61 0.0000380
## 240 37.67 -122.61 0.0000680
## 241 37.51 -122.57 0.0000540
## 242 37.51 -122.58 0.0000380
## 243 37.44 -122.93 0.0000680
## 244 37.45 -122.93 0.0000240
## 245 37.65 -122.24 0.0001120
## 246 37.65 -122.23 0.0002360
## 247 37.6 -122.25 0.0001810
## 248 37.59 -122.2 0.0026050
## 249 37.59 -122.28 0.0001280
## 250 37.58 -122.27 0.0004880
## 251 37.57 -122.21 0.0028990
## 252 37.56 -122.22 0.0013840
## 253 37.82 -122.36 0.0004260
## 254 38.05 -122.42 0.0000590
## 255 38.06 -122.42 0.0000920
## 256 38.64 -122.37 0.0006370
## 257 38.02 -122.37 0.0014090
## 258 38.11 -122.06 0.0000810
## 259 38.11 -122.06 0.0001310
## 260 37.9156 -122.4412 3.4653465
## 261 37.9229 -122.4330 2.7348777
## 262 37.8430 -122.4150 7.4331021
## 263 37.8445 -122.4069 0.6277464
## 264 37.8342 -122.3204 1.9509595
## 265 37.8339 -122.3221 4.9844237
## 266 N/A N/A 2.3251073
## 267 37.7795 -122.3537 1.5827794
## 268 37.7514 -122.2260 2.7035623
## 269 37.7505 -122.2278 2.5510204
## 270 37.6872 -122.2909 6.5789474
## 271 37.6936 -122.2991 18.7110187
## 272 38.1068 -123.1138 3.0000000
## 273 38.0346 -123.3131 1.6404199
## 274 37.9853 -123.4973 8.6715227
## 275 37.8128 -122.4723 0.6523157
## 276 37.9670 -122.9272 0.0000000
## 277 37.9695 -122.9270 1.8115942
## 278 37.8213 -123.0068 0.7095745
## 279 37.7327 -123.2630 1.2626263
## 280 37.8058 -122.7561 3.6647546
## 281 37.4801 -122.0781 3.0984997
## 282 37.4654 -122.0912 1.2795905
## 283 37.4528 -122.0331 7.6190476
## 284 37.4645 -122.0271 2.4122807
## 285 37.8208 -123.0177 13.5732323
## 286 37.8064 -122.7583 2.3832221
## 287 37.8053 -122.5082 0.9433962
## 288 37.7985 -122.5049 35.7031494
## 289 37.7935 -122.5030 2.2525988
## 290 37.6726 -122.6108 2.2022684
## 291 37.6718 -122.6110 1.6056519
## 292 37.5070 -122.5804 4.2694497
## 293 N/A N/A 3.5020694
## 294 37.4504 -122.9320 18.7659033
## 295 37.4446 -122.9280 6.2984496
## 296 37.6534 -122.2281 0.9980040
## 297 37.6500 -122.2433 6.1443932
## 298 37.5863 -122.2022 3.3460803
## 299 37.5983 -122.2502 1.5957447
## 300 37.5829 -122.2708 2.6666667
## 301 37.5649 -122.2227 4.3383948
## 302 37.5701 -122.2129 9.9313832
## 303 38.0513 -122.4218 3.3333333
## 304 38.0598 -122.4244 2.8333333
## 305 38.6405 -122.3716 5.0860720
## 306 38.0239 -122.3682 5.2430887
## 307 38.1071 -122.0563 2.7646130
## 308 38.1079 -122.0570 4.4275775
## particles.fish.blank.corrected particles.kg.blank.corrected sample.matrix
## 1 NA NA water
## 2 NA NA water
## 3 NA NA water
## 4 NA NA water
## 5 NA NA water
## 6 NA NA water
## 7 NA NA water
## 8 NA NA water
## 9 NA NA water
## 10 NA NA water
## 11 NA NA water
## 12 NA NA water
## 13 NA NA water
## 14 NA NA water
## 15 NA NA water
## 16 NA NA water
## 17 NA NA water
## 18 NA NA water
## 19 NA NA water
## 20 NA NA water
## 21 NA NA water
## 22 NA NA water
## 23 NA NA water
## 24 NA NA water
## 25 NA NA water
## 26 NA NA water
## 27 NA NA water
## 28 NA NA water
## 29 NA NA water
## 30 24.27 NA fish
## 31 6.60 NA fish
## 32 0.87 NA fish
## 33 1.00 NA fish
## 34 0.93 NA fish
## 35 3.53 NA fish
## 36 2.40 NA fish
## 37 45.07 NA fish
## 38 8.00 NA fish
## 39 11.67 NA fish
## 40 5.73 NA fish
## 41 5.87 NA fish
## 42 14.47 NA fish
## 43 1.80 NA fish
## 44 0.00 NA fish
## 45 0.00 NA fish
## 46 1.73 NA fish
## 47 0.13 NA fish
## 48 1.80 NA fish
## 49 1.00 NA fish
## 50 5.47 NA fish
## 51 3.87 NA fish
## 52 7.40 NA fish
## 53 6.00 NA fish
## 54 5.47 NA fish
## 55 3.60 NA fish
## 56 0.00 NA fish
## 57 2.00 NA fish
## 58 2.67 NA fish
## 59 1.60 NA fish
## 60 1.13 NA fish
## 61 1.60 NA fish
## 62 1.60 NA fish
## 63 0.87 NA fish
## 64 6.33 NA fish
## 65 0.13 NA fish
## 66 15.40 NA fish
## 67 11.27 NA fish
## 68 11.40 NA fish
## 69 3.27 NA fish
## 70 11.33 NA fish
## 71 1.87 NA fish
## 72 2.40 NA fish
## 73 1.00 NA fish
## 74 11.13 NA fish
## 75 9.07 NA fish
## 76 3.93 NA fish
## 77 8.87 NA fish
## 78 9.40 NA fish
## 79 3.40 NA fish
## 80 9.00 NA fish
## 81 16.40 NA fish
## 82 6.60 NA fish
## 83 1.80 NA fish
## 84 17.53 NA fish
## 85 17.27 NA fish
## 86 11.07 NA fish
## 87 24.00 NA fish
## 88 20.33 NA fish
## 89 14.53 NA fish
## 90 17.73 NA fish
## 91 9.53 NA fish
## 92 13.47 NA fish
## 93 14.60 NA fish
## 94 35.13 NA fish
## 95 20.40 NA fish
## 96 28.13 NA fish
## 97 13.13 NA fish
## 98 13.13 NA fish
## 99 5.73 NA fish
## 100 14.40 NA fish
## 101 15.07 NA fish
## 102 21.93 NA fish
## 103 7.40 NA fish
## 104 21.60 NA fish
## 105 35.40 NA fish
## 106 22.53 NA fish
## 107 6.67 NA fish
## 108 12.33 NA fish
## 109 18.87 NA fish
## 110 8.40 NA fish
## 111 3.40 NA fish
## 112 9.00 NA fish
## 113 0.73 NA fish
## 114 2.47 NA fish
## 115 7.27 NA fish
## 116 2.40 NA fish
## 117 1.67 NA fish
## 118 2.73 NA fish
## 119 5.40 NA fish
## 120 0.73 NA fish
## 121 1.67 NA fish
## 122 3.60 NA fish
## 123 1.73 NA fish
## 124 1.00 NA fish
## 125 1.67 NA fish
## 126 12.87 NA fish
## 127 4.53 NA fish
## 128 3.40 NA fish
## 129 3.73 NA fish
## 130 1.87 NA fish
## 131 4.73 NA fish
## 132 10.13 NA fish
## 133 27.13 NA fish
## 134 31.20 NA fish
## 135 35.13 NA fish
## 136 27.00 NA fish
## 137 24.00 NA fish
## 138 56.13 NA fish
## 139 16.27 NA fish
## 140 21.13 NA fish
## 141 28.13 NA fish
## 142 22.27 NA fish
## 143 9.27 NA fish
## 144 24.07 NA fish
## 145 7.40 NA fish
## 146 12.27 NA fish
## 147 7.13 NA fish
## 148 7.53 NA fish
## 149 7.87 NA fish
## 150 2.13 NA fish
## 151 1.93 NA fish
## 152 7.87 NA fish
## 153 1.53 NA fish
## 154 2.80 NA fish
## 155 8.40 NA fish
## 156 12.40 NA fish
## 157 3.87 NA fish
## 158 8.87 NA fish
## 159 6.47 NA fish
## 160 4.53 NA fish
## 161 2.87 NA fish
## 162 32.93 NA fish
## 163 15.60 NA fish
## 164 44.13 NA fish
## 165 17.47 NA fish
## 166 4.00 NA fish
## 167 6.53 NA fish
## 168 8.80 NA fish
## 169 10.27 NA fish
## 170 7.80 NA fish
## 171 0.80 NA fish
## 172 20.47 NA fish
## 173 13.33 NA fish
## 174 4.27 NA fish
## 175 2.60 NA fish
## 176 6.40 NA fish
## 177 6.47 NA fish
## 178 1.00 NA fish
## 179 3.73 NA fish
## 180 2.27 NA fish
## 181 5.60 NA fish
## 182 NA 425.56 sediment
## 183 NA 1140.55 sediment
## 184 NA 1610.94 sediment
## 185 NA 12095.68 sediment
## 186 NA 2730.69 sediment
## 187 NA 42104.17 sediment
## 188 NA 3647.26 sediment
## 189 NA 7108.70 sediment
## 190 NA 2893.81 sediment
## 191 NA 835.84 sediment
## 192 NA 26.67 sediment
## 193 NA 313.33 sediment
## 194 NA 9270.83 sediment
## 195 NA 7045.45 sediment
## 196 NA 567.78 sediment
## 197 NA 1028.07 sediment
## 198 NA 250.00 sediment
## 199 NA 131.02 sediment
## 200 NA 100.07 sediment
## 201 NA 216.38 sediment
## 202 NA NA water
## 203 NA NA water
## 204 NA NA water
## 205 NA NA water
## 206 NA NA water
## 207 NA NA water
## 208 NA NA water
## 209 NA NA water
## 210 NA NA water
## 211 NA NA water
## 212 NA NA water
## 213 NA NA water
## 214 NA NA water
## 215 NA NA water
## 216 NA NA water
## 217 NA NA water
## 218 NA NA water
## 219 NA NA water
## 220 NA NA water
## 221 NA NA water
## 222 NA NA water
## 223 NA NA water
## 224 NA NA water
## 225 NA NA water
## 226 NA NA water
## 227 NA NA water
## 228 NA NA water
## 229 NA NA water
## 230 NA NA water
## 231 NA NA water
## 232 NA NA water
## 233 NA NA water
## 234 NA NA water
## 235 NA NA water
## 236 NA NA water
## 237 NA NA water
## 238 NA NA water
## 239 NA NA water
## 240 NA NA water
## 241 NA NA water
## 242 NA NA water
## 243 NA NA water
## 244 NA NA water
## 245 NA NA water
## 246 NA NA water
## 247 NA NA water
## 248 NA NA water
## 249 NA NA water
## 250 NA NA water
## 251 NA NA water
## 252 NA NA water
## 253 NA NA water
## 254 NA NA water
## 255 NA NA water
## 256 NA NA water
## 257 NA NA water
## 258 NA NA water
## 259 NA NA water
## 260 NA NA water
## 261 NA NA water
## 262 NA NA water
## 263 NA NA water
## 264 NA NA water
## 265 NA NA water
## 266 NA NA water
## 267 NA NA water
## 268 NA NA water
## 269 NA NA water
## 270 NA NA water
## 271 NA NA water
## 272 NA NA water
## 273 NA NA water
## 274 NA NA water
## 275 NA NA water
## 276 NA NA water
## 277 NA NA water
## 278 NA NA water
## 279 NA NA water
## 280 NA NA water
## 281 NA NA water
## 282 NA NA water
## 283 NA NA water
## 284 NA NA water
## 285 NA NA water
## 286 NA NA water
## 287 NA NA water
## 288 NA NA water
## 289 NA NA water
## 290 NA NA water
## 291 NA NA water
## 292 NA NA water
## 293 NA NA water
## 294 NA NA water
## 295 NA NA water
## 296 NA NA water
## 297 NA NA water
## 298 NA NA water
## 299 NA NA water
## 300 NA NA water
## 301 NA NA water
## 302 NA NA water
## 303 NA NA water
## 304 NA NA water
## 305 NA NA water
## 306 NA NA water
## 307 NA NA water
## 308 NA NA water
## sample.matrix.specific Sampling.apparatus x1M x2M
## 1 stormwater depth-integrated perisaltic pump 106 5000
## 2 stormwater depth-integrated perisaltic pump 106 5000
## 3 stormwater depth-integrated perisaltic pump 106 5000
## 4 stormwater depth-integrated perisaltic pump 106 5000
## 5 stormwater depth-integrated perisaltic pump 106 5000
## 6 stormwater depth-integrated perisaltic pump 106 5000
## 7 stormwater depth-integrated perisaltic pump 106 5000
## 8 stormwater depth-integrated perisaltic pump 106 5000
## 9 stormwater depth-integrated perisaltic pump 106 5000
## 10 stormwater depth-integrated perisaltic pump 106 5000
## 11 stormwater depth-integrated perisaltic pump 106 5000
## 12 stormwater depth-integrated perisaltic pump 106 5000
## 13 wastewater Composite 110 5000
## 14 wastewater Composite 110 5000
## 15 wastewater Composite 110 5000
## 16 wastewater Composite 110 5000
## 17 wastewater Composite 110 5000
## 18 wastewater Composite 110 5000
## 19 wastewater Composite 110 5000
## 20 wastewater Composite 110 5000
## 21 wastewater Composite 110 5000
## 22 wastewater Composite 110 5000
## 23 wastewater Composite 110 5000
## 24 wastewater Composite 110 5000
## 25 wastewater Composite 110 5000
## 26 wastewater Composite 110 5000
## 27 wastewater Composite 110 5000
## 28 wastewater Composite 110 5000
## 29 wastewater Composite 110 5000
## 30 anchovy otter trawl/cast net 25 5000
## 31 anchovy otter trawl/cast net 25 5000
## 32 anchovy otter trawl/cast net 25 5000
## 33 topsmelt otter trawl/cast net 25 5000
## 34 topsmelt otter trawl/cast net 25 5000
## 35 topsmelt otter trawl/cast net 25 5000
## 36 topsmelt otter trawl/cast net 25 5000
## 37 anchovy otter trawl/cast net 25 5000
## 38 topsmelt otter trawl/cast net 25 5000
## 39 topsmelt otter trawl/cast net 25 5000
## 40 topsmelt otter trawl/cast net 25 5000
## 41 topsmelt otter trawl/cast net 25 5000
## 42 topsmelt otter trawl/cast net 25 5000
## 43 topsmelt otter trawl/cast net 25 5000
## 44 anchovy otter trawl/cast net 25 5000
## 45 anchovy otter trawl/cast net 25 5000
## 46 anchovy otter trawl/cast net 25 5000
## 47 anchovy otter trawl/cast net 25 5000
## 48 anchovy otter trawl/cast net 25 5000
## 49 anchovy otter trawl/cast net 25 5000
## 50 anchovy otter trawl/cast net 25 5000
## 51 anchovy otter trawl/cast net 25 5000
## 52 anchovy otter trawl/cast net 25 5000
## 53 anchovy otter trawl/cast net 25 5000
## 54 anchovy otter trawl/cast net 25 5000
## 55 anchovy otter trawl/cast net 25 5000
## 56 anchovy otter trawl/cast net 25 5000
## 57 anchovy otter trawl/cast net 25 5000
## 58 anchovy otter trawl/cast net 25 5000
## 59 anchovy otter trawl/cast net 25 5000
## 60 anchovy otter trawl/cast net 25 5000
## 61 anchovy otter trawl/cast net 25 5000
## 62 anchovy otter trawl/cast net 25 5000
## 63 anchovy otter trawl/cast net 25 5000
## 64 topsmelt otter trawl/cast net 25 5000
## 65 topsmelt otter trawl/cast net 25 5000
## 66 topsmelt otter trawl/cast net 25 5000
## 67 topsmelt otter trawl/cast net 25 5000
## 68 topsmelt otter trawl/cast net 25 5000
## 69 topsmelt otter trawl/cast net 25 5000
## 70 topsmelt otter trawl/cast net 25 5000
## 71 topsmelt otter trawl/cast net 25 5000
## 72 topsmelt otter trawl/cast net 25 5000
## 73 topsmelt otter trawl/cast net 25 5000
## 74 topsmelt otter trawl/cast net 25 5000
## 75 topsmelt otter trawl/cast net 25 5000
## 76 topsmelt otter trawl/cast net 25 5000
## 77 topsmelt otter trawl/cast net 25 5000
## 78 topsmelt otter trawl/cast net 25 5000
## 79 topsmelt otter trawl/cast net 25 5000
## 80 topsmelt otter trawl/cast net 25 5000
## 81 topsmelt otter trawl/cast net 25 5000
## 82 topsmelt otter trawl/cast net 25 5000
## 83 topsmelt otter trawl/cast net 25 5000
## 84 anchovy otter trawl/cast net 25 5000
## 85 anchovy otter trawl/cast net 25 5000
## 86 anchovy otter trawl/cast net 25 5000
## 87 anchovy otter trawl/cast net 25 5000
## 88 anchovy otter trawl/cast net 25 5000
## 89 anchovy otter trawl/cast net 25 5000
## 90 anchovy otter trawl/cast net 25 5000
## 91 anchovy otter trawl/cast net 25 5000
## 92 anchovy otter trawl/cast net 25 5000
## 93 anchovy otter trawl/cast net 25 5000
## 94 anchovy otter trawl/cast net 25 5000
## 95 anchovy otter trawl/cast net 25 5000
## 96 anchovy otter trawl/cast net 25 5000
## 97 anchovy otter trawl/cast net 25 5000
## 98 anchovy otter trawl/cast net 25 5000
## 99 anchovy otter trawl/cast net 25 5000
## 100 anchovy otter trawl/cast net 25 5000
## 101 anchovy otter trawl/cast net 25 5000
## 102 anchovy otter trawl/cast net 25 5000
## 103 anchovy otter trawl/cast net 25 5000
## 104 topsmelt otter trawl/cast net 25 5000
## 105 topsmelt otter trawl/cast net 25 5000
## 106 topsmelt otter trawl/cast net 25 5000
## 107 topsmelt otter trawl/cast net 25 5000
## 108 topsmelt otter trawl/cast net 25 5000
## 109 topsmelt otter trawl/cast net 25 5000
## 110 topsmelt otter trawl/cast net 25 5000
## 111 topsmelt otter trawl/cast net 25 5000
## 112 anchovy otter trawl/cast net 25 5000
## 113 anchovy otter trawl/cast net 25 5000
## 114 anchovy otter trawl/cast net 25 5000
## 115 anchovy otter trawl/cast net 25 5000
## 116 anchovy otter trawl/cast net 25 5000
## 117 anchovy otter trawl/cast net 25 5000
## 118 anchovy otter trawl/cast net 25 5000
## 119 anchovy otter trawl/cast net 25 5000
## 120 anchovy otter trawl/cast net 25 5000
## 121 anchovy otter trawl/cast net 25 5000
## 122 anchovy otter trawl/cast net 25 5000
## 123 anchovy otter trawl/cast net 25 5000
## 124 anchovy otter trawl/cast net 25 5000
## 125 anchovy otter trawl/cast net 25 5000
## 126 anchovy otter trawl/cast net 25 5000
## 127 anchovy otter trawl/cast net 25 5000
## 128 anchovy otter trawl/cast net 25 5000
## 129 anchovy otter trawl/cast net 25 5000
## 130 anchovy otter trawl/cast net 25 5000
## 131 anchovy otter trawl/cast net 25 5000
## 132 topsmelt otter trawl/cast net 25 5000
## 133 topsmelt otter trawl/cast net 25 5000
## 134 topsmelt otter trawl/cast net 25 5000
## 135 topsmelt otter trawl/cast net 25 5000
## 136 topsmelt otter trawl/cast net 25 5000
## 137 topsmelt otter trawl/cast net 25 5000
## 138 topsmelt otter trawl/cast net 25 5000
## 139 topsmelt otter trawl/cast net 25 5000
## 140 topsmelt otter trawl/cast net 25 5000
## 141 topsmelt otter trawl/cast net 25 5000
## 142 anchovy otter trawl/cast net 25 5000
## 143 anchovy otter trawl/cast net 25 5000
## 144 anchovy otter trawl/cast net 25 5000
## 145 anchovy otter trawl/cast net 25 5000
## 146 anchovy otter trawl/cast net 25 5000
## 147 anchovy otter trawl/cast net 25 5000
## 148 anchovy otter trawl/cast net 25 5000
## 149 anchovy otter trawl/cast net 25 5000
## 150 anchovy otter trawl/cast net 25 5000
## 151 anchovy otter trawl/cast net 25 5000
## 152 topsmelt otter trawl/cast net 25 5000
## 153 topsmelt otter trawl/cast net 25 5000
## 154 topsmelt otter trawl/cast net 25 5000
## 155 topsmelt otter trawl/cast net 25 5000
## 156 topsmelt otter trawl/cast net 25 5000
## 157 topsmelt otter trawl/cast net 25 5000
## 158 topsmelt otter trawl/cast net 25 5000
## 159 topsmelt otter trawl/cast net 25 5000
## 160 topsmelt otter trawl/cast net 25 5000
## 161 topsmelt otter trawl/cast net 25 5000
## 162 topsmelt otter trawl/cast net 25 5000
## 163 topsmelt otter trawl/cast net 25 5000
## 164 topsmelt otter trawl/cast net 25 5000
## 165 topsmelt otter trawl/cast net 25 5000
## 166 topsmelt otter trawl/cast net 25 5000
## 167 topsmelt otter trawl/cast net 25 5000
## 168 topsmelt otter trawl/cast net 25 5000
## 169 topsmelt otter trawl/cast net 25 5000
## 170 topsmelt otter trawl/cast net 25 5000
## 171 topsmelt otter trawl/cast net 25 5000
## 172 topsmelt otter trawl/cast net 25 5000
## 173 topsmelt otter trawl/cast net 25 5000
## 174 topsmelt otter trawl/cast net 25 5000
## 175 topsmelt otter trawl/cast net 25 5000
## 176 topsmelt otter trawl/cast net 25 5000
## 177 topsmelt otter trawl/cast net 25 5000
## 178 topsmelt otter trawl/cast net 25 5000
## 179 topsmelt otter trawl/cast net 25 5000
## 180 topsmelt otter trawl/cast net 25 5000
## 181 topsmelt otter trawl/cast net 25 5000
## 182 sediment Van Veen Grab 45 5000
## 183 sediment Van Veen Grab 45 5000
## 184 sediment Van Veen Grab 45 5000
## 185 sediment Van Veen Grab 45 5000
## 186 sediment Van Veen Grab 45 5000
## 187 sediment Van Veen Grab 45 5000
## 188 sediment Van Veen Grab 45 5000
## 189 sediment Van Veen Grab 45 5000
## 190 sediment Van Veen Grab 45 5000
## 191 sediment Van Veen Grab 45 5000
## 192 sediment Van Veen Grab 45 5000
## 193 sediment Van Veen Grab 45 5000
## 194 sediment Van Veen Grab 45 5000
## 195 sediment Van Veen Grab 45 5000
## 196 sediment Van Veen Grab 45 5000
## 197 sediment Van Veen Grab 45 5000
## 198 sediment Van Veen Grab 45 5000
## 199 sediment Van Veen Grab 45 5000
## 200 sediment Van Veen Grab 45 5000
## 201 sediment Van Veen Grab 45 5000
## 202 surface water Manta Trawl 333 5000
## 203 surface water Manta Trawl 333 5000
## 204 surface water Manta Trawl 333 5000
## 205 surface water Manta Trawl 333 5000
## 206 surface water Manta Trawl 333 5000
## 207 surface water Manta Trawl 333 5000
## 208 surface water Manta Trawl 333 5000
## 209 surface water Manta Trawl 333 5000
## 210 surface water Manta Trawl 333 5000
## 211 surface water Manta Trawl 333 5000
## 212 surface water Manta Trawl 333 5000
## 213 surface water Manta Trawl 333 5000
## 214 surface water Manta Trawl 333 5000
## 215 surface water Manta Trawl 333 5000
## 216 surface water Manta Trawl 333 5000
## 217 surface water Manta Trawl 333 5000
## 218 surface water Manta Trawl 333 5000
## 219 surface water Manta Trawl 333 5000
## 220 surface water Manta Trawl 333 5000
## 221 surface water Manta Trawl 333 5000
## 222 surface water Manta Trawl 333 5000
## 223 surface water Manta Trawl 333 5000
## 224 surface water Manta Trawl 333 5000
## 225 surface water Manta Trawl 333 5000
## 226 surface water Manta Trawl 333 5000
## 227 surface water Manta Trawl 333 5000
## 228 surface water Manta Trawl 333 5000
## 229 surface water Manta Trawl 333 5000
## 230 surface water Manta Trawl 333 5000
## 231 surface water Manta Trawl 333 5000
## 232 surface water Manta Trawl 333 5000
## 233 surface water Manta Trawl 333 5000
## 234 surface water Manta Trawl 333 5000
## 235 surface water Manta Trawl 333 5000
## 236 surface water Manta Trawl 333 5000
## 237 surface water Manta Trawl 333 5000
## 238 surface water Manta Trawl 333 5000
## 239 surface water Manta Trawl 333 5000
## 240 surface water Manta Trawl 333 5000
## 241 surface water Manta Trawl 333 5000
## 242 surface water Manta Trawl 333 5000
## 243 surface water Manta Trawl 333 5000
## 244 surface water Manta Trawl 333 5000
## 245 surface water Manta Trawl 333 5000
## 246 surface water Manta Trawl 333 5000
## 247 surface water Manta Trawl 333 5000
## 248 surface water Manta Trawl 333 5000
## 249 surface water Manta Trawl 333 5000
## 250 surface water Manta Trawl 333 5000
## 251 surface water Manta Trawl 333 5000
## 252 surface water Manta Trawl 333 5000
## 253 surface water Manta Trawl 333 5000
## 254 surface water Manta Trawl 333 5000
## 255 surface water Manta Trawl 333 5000
## 256 surface water Manta Trawl 333 5000
## 257 surface water Manta Trawl 333 5000
## 258 surface water Manta Trawl 333 5000
## 259 surface water Manta Trawl 333 5000
## 260 surface water 1-L grab 50 5000
## 261 surface water 1-L grab 50 5000
## 262 surface water 1-L grab 50 5000
## 263 surface water 1-L grab 50 5000
## 264 surface water 1-L grab 50 5000
## 265 surface water 1-L grab 50 5000
## 266 surface water 1-L grab 50 5000
## 267 surface water 1-L grab 50 5000
## 268 surface water 1-L grab 50 5000
## 269 surface water 1-L grab 50 5000
## 270 surface water 1-L grab 50 5000
## 271 surface water 1-L grab 50 5000
## 272 surface water 1-L grab 50 5000
## 273 surface water 1-L grab 50 5000
## 274 surface water 1-L grab 50 5000
## 275 surface water 1-L grab 50 5000
## 276 surface water 1-L grab 50 5000
## 277 surface water 1-L grab 50 5000
## 278 surface water 1-L grab 50 5000
## 279 surface water 1-L grab 50 5000
## 280 surface water 1-L grab 50 5000
## 281 surface water 1-L grab 50 5000
## 282 surface water 1-L grab 50 5000
## 283 surface water 1-L grab 50 5000
## 284 surface water 1-L grab 50 5000
## 285 surface water 1-L grab 50 5000
## 286 surface water 1-L grab 50 5000
## 287 surface water 1-L grab 50 5000
## 288 surface water 1-L grab 50 5000
## 289 surface water 1-L grab 50 5000
## 290 surface water 1-L grab 50 5000
## 291 surface water 1-L grab 50 5000
## 292 surface water 1-L grab 50 5000
## 293 surface water 1-L grab 50 5000
## 294 surface water 1-L grab 50 5000
## 295 surface water 1-L grab 50 5000
## 296 surface water 1-L grab 50 5000
## 297 surface water 1-L grab 50 5000
## 298 surface water 1-L grab 50 5000
## 299 surface water 1-L grab 50 5000
## 300 surface water 1-L grab 50 5000
## 301 surface water 1-L grab 50 5000
## 302 surface water 1-L grab 50 5000
## 303 surface water 1-L grab 50 5000
## 304 surface water 1-L grab 50 5000
## 305 surface water 1-L grab 50 5000
## 306 surface water 1-L grab 50 5000
## 307 surface water 1-L grab 50 5000
## 308 surface water 1-L grab 50 5000
## Sample.Type season fiber.correction.factor fiber.correction.factor.sd
## 1 sample <NA> 1.000000 NA
## 2 sample <NA> 1.000000 NA
## 3 sample <NA> 1.000000 NA
## 4 sample <NA> 1.000000 NA
## 5 sample <NA> 1.000000 NA
## 6 sample <NA> 1.000000 NA
## 7 sample <NA> 1.000000 NA
## 8 sample <NA> 1.000000 NA
## 9 sample <NA> 1.000000 NA
## 10 sample <NA> 1.000000 NA
## 11 sample <NA> 1.000000 NA
## 12 sample <NA> 1.000000 NA
## 13 sample dry 1.000000 NA
## 14 sample dry 1.000000 NA
## 15 sample dry 1.000000 NA
## 16 sample dry 1.000000 NA
## 17 sample dry 1.000000 NA
## 18 sample <NA> 1.000000 NA
## 19 sample dry 1.000000 NA
## 20 sample dry 1.000000 NA
## 21 sample dry 1.000000 NA
## 22 sample dry 1.000000 NA
## 23 sample dry 1.000000 NA
## 24 sample dry 1.000000 NA
## 25 sample <NA> 1.000000 NA
## 26 sample wet 1.000000 NA
## 27 sample wet 1.000000 NA
## 28 sample <NA> 1.000000 NA
## 29 sample wet 1.000000 NA
## 30 sample <NA> 1.000000 NA
## 31 sample <NA> 1.000000 NA
## 32 sample <NA> 1.000000 NA
## 33 sample <NA> 1.000000 NA
## 34 sample <NA> 1.000000 NA
## 35 sample <NA> 1.000000 NA
## 36 sample <NA> 1.000000 NA
## 37 sample <NA> 1.000000 NA
## 38 sample <NA> 1.000000 NA
## 39 sample <NA> 1.000000 NA
## 40 sample <NA> 1.000000 NA
## 41 sample <NA> 1.000000 NA
## 42 sample <NA> 1.000000 NA
## 43 sample <NA> 1.000000 NA
## 44 sample <NA> 1.000000 NA
## 45 sample <NA> 1.000000 NA
## 46 sample <NA> 1.000000 NA
## 47 sample <NA> 1.000000 NA
## 48 sample <NA> 1.000000 NA
## 49 sample <NA> 1.000000 NA
## 50 sample <NA> 1.000000 NA
## 51 sample <NA> 1.000000 NA
## 52 sample <NA> 1.000000 NA
## 53 sample <NA> 1.000000 NA
## 54 sample <NA> 1.000000 NA
## 55 sample <NA> 1.000000 NA
## 56 sample <NA> 1.000000 NA
## 57 sample <NA> 1.000000 NA
## 58 sample <NA> 1.000000 NA
## 59 sample <NA> 1.000000 NA
## 60 sample <NA> 1.000000 NA
## 61 sample <NA> 1.000000 NA
## 62 sample <NA> 1.000000 NA
## 63 sample <NA> 1.000000 NA
## 64 sample <NA> 1.000000 NA
## 65 sample <NA> 1.000000 NA
## 66 sample <NA> 1.000000 NA
## 67 sample <NA> 1.000000 NA
## 68 sample <NA> 1.000000 NA
## 69 sample <NA> 1.000000 NA
## 70 sample <NA> 1.000000 NA
## 71 sample <NA> 1.000000 NA
## 72 sample <NA> 1.000000 NA
## 73 sample <NA> 1.000000 NA
## 74 sample <NA> 1.000000 NA
## 75 sample <NA> 1.000000 NA
## 76 sample <NA> 1.000000 NA
## 77 sample <NA> 1.000000 NA
## 78 sample <NA> 1.000000 NA
## 79 sample <NA> 1.000000 NA
## 80 sample <NA> 1.000000 NA
## 81 sample <NA> 1.000000 NA
## 82 sample <NA> 1.000000 NA
## 83 sample <NA> 1.000000 NA
## 84 sample <NA> 1.000000 NA
## 85 sample <NA> 1.000000 NA
## 86 sample <NA> 1.000000 NA
## 87 sample <NA> 1.000000 NA
## 88 sample <NA> 1.000000 NA
## 89 sample <NA> 1.000000 NA
## 90 sample <NA> 1.000000 NA
## 91 sample <NA> 1.000000 NA
## 92 sample <NA> 1.000000 NA
## 93 sample <NA> 1.000000 NA
## 94 sample <NA> 1.000000 NA
## 95 sample <NA> 1.000000 NA
## 96 sample <NA> 1.000000 NA
## 97 sample <NA> 1.000000 NA
## 98 sample <NA> 1.000000 NA
## 99 sample <NA> 1.000000 NA
## 100 sample <NA> 1.000000 NA
## 101 sample <NA> 1.000000 NA
## 102 sample <NA> 1.000000 NA
## 103 sample <NA> 1.000000 NA
## 104 sample <NA> 1.000000 NA
## 105 sample <NA> 1.000000 NA
## 106 sample <NA> 1.000000 NA
## 107 sample <NA> 1.000000 NA
## 108 sample <NA> 1.000000 NA
## 109 sample <NA> 1.000000 NA
## 110 sample <NA> 1.000000 NA
## 111 sample <NA> 1.000000 NA
## 112 sample <NA> 1.000000 NA
## 113 sample <NA> 1.000000 NA
## 114 sample <NA> 1.000000 NA
## 115 sample <NA> 1.000000 NA
## 116 sample <NA> 1.000000 NA
## 117 sample <NA> 1.000000 NA
## 118 sample <NA> 1.000000 NA
## 119 sample <NA> 1.000000 NA
## 120 sample <NA> 1.000000 NA
## 121 sample <NA> 1.000000 NA
## 122 sample <NA> 1.000000 NA
## 123 sample <NA> 1.000000 NA
## 124 sample <NA> 1.000000 NA
## 125 sample <NA> 1.000000 NA
## 126 sample <NA> 1.000000 NA
## 127 sample <NA> 1.000000 NA
## 128 sample <NA> 1.000000 NA
## 129 sample <NA> 1.000000 NA
## 130 sample <NA> 1.000000 NA
## 131 sample <NA> 1.000000 NA
## 132 sample <NA> 1.000000 NA
## 133 sample <NA> 1.000000 NA
## 134 sample <NA> 1.000000 NA
## 135 sample <NA> 1.000000 NA
## 136 sample <NA> 1.000000 NA
## 137 sample <NA> 1.000000 NA
## 138 sample <NA> 1.000000 NA
## 139 sample <NA> 1.000000 NA
## 140 sample <NA> 1.000000 NA
## 141 sample <NA> 1.000000 NA
## 142 sample <NA> 1.000000 NA
## 143 sample <NA> 1.000000 NA
## 144 sample <NA> 1.000000 NA
## 145 sample <NA> 1.000000 NA
## 146 sample <NA> 1.000000 NA
## 147 sample <NA> 1.000000 NA
## 148 sample <NA> 1.000000 NA
## 149 sample <NA> 1.000000 NA
## 150 sample <NA> 1.000000 NA
## 151 sample <NA> 1.000000 NA
## 152 sample <NA> 1.000000 NA
## 153 sample <NA> 1.000000 NA
## 154 sample <NA> 1.000000 NA
## 155 sample <NA> 1.000000 NA
## 156 sample <NA> 1.000000 NA
## 157 sample <NA> 1.000000 NA
## 158 sample <NA> 1.000000 NA
## 159 sample <NA> 1.000000 NA
## 160 sample <NA> 1.000000 NA
## 161 sample <NA> 1.000000 NA
## 162 sample <NA> 1.000000 NA
## 163 sample <NA> 1.000000 NA
## 164 sample <NA> 1.000000 NA
## 165 sample <NA> 1.000000 NA
## 166 sample <NA> 1.000000 NA
## 167 sample <NA> 1.000000 NA
## 168 sample <NA> 1.000000 NA
## 169 sample <NA> 1.000000 NA
## 170 sample <NA> 1.000000 NA
## 171 sample <NA> 1.000000 NA
## 172 sample <NA> 1.000000 NA
## 173 sample <NA> 1.000000 NA
## 174 sample <NA> 1.000000 NA
## 175 sample <NA> 1.000000 NA
## 176 sample <NA> 1.000000 NA
## 177 sample <NA> 1.000000 NA
## 178 sample <NA> 1.000000 NA
## 179 sample <NA> 1.000000 NA
## 180 sample <NA> 1.000000 NA
## 181 sample <NA> 1.000000 NA
## 182 sample <NA> 1.000000 NA
## 183 sample <NA> 1.000000 NA
## 184 sample <NA> 1.000000 NA
## 185 sample <NA> 1.000000 NA
## 186 sample <NA> 1.000000 NA
## 187 sample <NA> 1.000000 NA
## 188 sample <NA> 1.000000 NA
## 189 sample <NA> 1.000000 NA
## 190 sample <NA> 1.000000 NA
## 191 sample <NA> 1.000000 NA
## 192 sample <NA> 1.000000 NA
## 193 sample <NA> 1.000000 NA
## 194 sample <NA> 1.000000 NA
## 195 sample <NA> 1.000000 NA
## 196 sample <NA> 1.000000 NA
## 197 sample <NA> 1.000000 NA
## 198 sample <NA> 1.000000 NA
## 199 sample <NA> 1.000000 NA
## 200 sample <NA> 1.000000 NA
## 201 sample <NA> 1.000000 NA
## 202 sample dry 4.598399 1.393976
## 203 sample wet 4.598399 1.393976
## 204 sample dry 4.598399 1.393976
## 205 sample wet 4.598399 1.393976
## 206 sample wet 4.598399 1.393976
## 207 sample dry 4.598399 1.393976
## 208 sample wet 4.598399 1.393976
## 209 sample dry 4.598399 1.393976
## 210 sample wet 4.598399 1.393976
## 211 sample dry 4.598399 1.393976
## 212 sample wet 4.598399 1.393976
## 213 sample dry 4.598399 1.393976
## 214 sample wet 4.598399 1.393976
## 215 sample wet 4.598399 1.393976
## 216 sample dry 4.598399 1.393976
## 217 sample wet 4.598399 1.393976
## 218 sample dry 4.598399 1.393976
## 219 sample dry 4.598399 1.393976
## 220 sample wet 4.598399 1.393976
## 221 sample wet 4.598399 1.393976
## 222 sample dry 4.598399 1.393976
## 223 sample wet 4.598399 1.393976
## 224 sample dry 4.598399 1.393976
## 225 sample wet 4.598399 1.393976
## 226 sample dry 4.598399 1.393976
## 227 sample wet 4.598399 1.393976
## 228 sample dry 4.598399 1.393976
## 229 sample dry 4.598399 1.393976
## 230 sample wet 4.598399 1.393976
## 231 sample dry 4.598399 1.393976
## 232 sample wet 4.598399 1.393976
## 233 sample dry 4.598399 1.393976
## 234 sample wet 4.598399 1.393976
## 235 sample wet 4.598399 1.393976
## 236 sample wet 4.598399 1.393976
## 237 sample wet 4.598399 1.393976
## 238 sample dry 4.598399 1.393976
## 239 sample wet 4.598399 1.393976
## 240 sample dry 4.598399 1.393976
## 241 sample wet 4.598399 1.393976
## 242 sample dry 4.598399 1.393976
## 243 sample wet 4.598399 1.393976
## 244 sample dry 4.598399 1.393976
## 245 sample dry 4.598399 1.393976
## 246 sample wet 4.598399 1.393976
## 247 sample dry 4.598399 1.393976
## 248 sample wet 4.598399 1.393976
## 249 sample dry 4.598399 1.393976
## 250 sample wet 4.598399 1.393976
## 251 sample dry 4.598399 1.393976
## 252 sample wet 4.598399 1.393976
## 253 sample dry 4.598399 1.393976
## 254 sample dry 4.598399 1.393976
## 255 sample wet 4.598399 1.393976
## 256 sample dry 4.598399 1.393976
## 257 sample wet 4.598399 1.393976
## 258 sample dry 4.598399 1.393976
## 259 sample wet 4.598399 1.393976
## 260 sample dry 1.000000 NA
## 261 sample wet 1.000000 NA
## 262 sample dry 1.000000 NA
## 263 sample wet 1.000000 NA
## 264 sample dry 1.000000 NA
## 265 sample wet 1.000000 NA
## 266 sample dry 1.000000 NA
## 267 sample wet 1.000000 NA
## 268 sample dry 1.000000 NA
## 269 sample wet 1.000000 NA
## 270 sample dry 1.000000 NA
## 271 sample wet 1.000000 NA
## 272 sample dry 1.000000 NA
## 273 sample dry 1.000000 NA
## 274 sample dry 1.000000 NA
## 275 sample wet 1.000000 NA
## 276 sample wet 1.000000 NA
## 277 sample dry 1.000000 NA
## 278 sample dry 1.000000 NA
## 279 sample dry 1.000000 NA
## 280 sample dry 1.000000 NA
## 281 sample wet 1.000000 NA
## 282 sample wet 1.000000 NA
## 283 sample dry 1.000000 NA
## 284 sample wet 1.000000 NA
## 285 sample wet 1.000000 NA
## 286 sample wet 1.000000 NA
## 287 sample wet 1.000000 NA
## 288 sample wet 1.000000 NA
## 289 sample dry 1.000000 NA
## 290 sample wet 1.000000 NA
## 291 sample dry 1.000000 NA
## 292 sample wet 1.000000 NA
## 293 sample dry 1.000000 NA
## 294 sample wet 1.000000 NA
## 295 sample dry 1.000000 NA
## 296 sample dry 1.000000 NA
## 297 sample wet 1.000000 NA
## 298 sample dry 1.000000 NA
## 299 sample wet 1.000000 NA
## 300 sample wet 1.000000 NA
## 301 sample dry 1.000000 NA
## 302 sample wet 1.000000 NA
## 303 sample dry 1.000000 NA
## 304 sample wet 1.000000 NA
## 305 sample dry 1.000000 NA
## 306 sample wet 1.000000 NA
## 307 sample dry 1.000000 NA
## 308 sample wet 1.000000 NA
## fiber.correction.factor.n particles.L.blank.corrected.fiber.corrected
## 1 NA 1.630000e+00
## 2 NA 1.650000e+00
## 3 NA 7.200000e+00
## 4 NA 5.630000e+00
## 5 NA 4.940000e+00
## 6 NA 8.430000e+00
## 7 NA 1.006000e+01
## 8 NA 2.310000e+00
## 9 NA 1.090000e+00
## 10 NA 1.784000e+01
## 11 NA 1.236000e+01
## 12 NA 2.441000e+01
## 13 NA 6.450000e-02
## 14 NA 1.150000e-02
## 15 NA 1.778000e-01
## 16 NA 4.210000e-02
## 17 NA 3.000000e-03
## 18 NA 5.400000e-03
## 19 NA 1.860000e-02
## 20 NA 2.330000e-02
## 21 NA 2.220000e-02
## 22 NA 7.780000e-02
## 23 NA 3.700000e-03
## 24 NA 5.500000e-03
## 25 NA 1.083000e-01
## 26 NA 1.593000e-01
## 27 NA 1.816000e-01
## 28 NA 7.500000e-03
## 29 NA 6.830000e-02
## 30 NA NA
## 31 NA NA
## 32 NA NA
## 33 NA NA
## 34 NA NA
## 35 NA NA
## 36 NA NA
## 37 NA NA
## 38 NA NA
## 39 NA NA
## 40 NA NA
## 41 NA NA
## 42 NA NA
## 43 NA NA
## 44 NA NA
## 45 NA NA
## 46 NA NA
## 47 NA NA
## 48 NA NA
## 49 NA NA
## 50 NA NA
## 51 NA NA
## 52 NA NA
## 53 NA NA
## 54 NA NA
## 55 NA NA
## 56 NA NA
## 57 NA NA
## 58 NA NA
## 59 NA NA
## 60 NA NA
## 61 NA NA
## 62 NA NA
## 63 NA NA
## 64 NA NA
## 65 NA NA
## 66 NA NA
## 67 NA NA
## 68 NA NA
## 69 NA NA
## 70 NA NA
## 71 NA NA
## 72 NA NA
## 73 NA NA
## 74 NA NA
## 75 NA NA
## 76 NA NA
## 77 NA NA
## 78 NA NA
## 79 NA NA
## 80 NA NA
## 81 NA NA
## 82 NA NA
## 83 NA NA
## 84 NA NA
## 85 NA NA
## 86 NA NA
## 87 NA NA
## 88 NA NA
## 89 NA NA
## 90 NA NA
## 91 NA NA
## 92 NA NA
## 93 NA NA
## 94 NA NA
## 95 NA NA
## 96 NA NA
## 97 NA NA
## 98 NA NA
## 99 NA NA
## 100 NA NA
## 101 NA NA
## 102 NA NA
## 103 NA NA
## 104 NA NA
## 105 NA NA
## 106 NA NA
## 107 NA NA
## 108 NA NA
## 109 NA NA
## 110 NA NA
## 111 NA NA
## 112 NA NA
## 113 NA NA
## 114 NA NA
## 115 NA NA
## 116 NA NA
## 117 NA NA
## 118 NA NA
## 119 NA NA
## 120 NA NA
## 121 NA NA
## 122 NA NA
## 123 NA NA
## 124 NA NA
## 125 NA NA
## 126 NA NA
## 127 NA NA
## 128 NA NA
## 129 NA NA
## 130 NA NA
## 131 NA NA
## 132 NA NA
## 133 NA NA
## 134 NA NA
## 135 NA NA
## 136 NA NA
## 137 NA NA
## 138 NA NA
## 139 NA NA
## 140 NA NA
## 141 NA NA
## 142 NA NA
## 143 NA NA
## 144 NA NA
## 145 NA NA
## 146 NA NA
## 147 NA NA
## 148 NA NA
## 149 NA NA
## 150 NA NA
## 151 NA NA
## 152 NA NA
## 153 NA NA
## 154 NA NA
## 155 NA NA
## 156 NA NA
## 157 NA NA
## 158 NA NA
## 159 NA NA
## 160 NA NA
## 161 NA NA
## 162 NA NA
## 163 NA NA
## 164 NA NA
## 165 NA NA
## 166 NA NA
## 167 NA NA
## 168 NA NA
## 169 NA NA
## 170 NA NA
## 171 NA NA
## 172 NA NA
## 173 NA NA
## 174 NA NA
## 175 NA NA
## 176 NA NA
## 177 NA NA
## 178 NA NA
## 179 NA NA
## 180 NA NA
## 181 NA NA
## 182 NA NA
## 183 NA NA
## 184 NA NA
## 185 NA NA
## 186 NA NA
## 187 NA NA
## 188 NA NA
## 189 NA NA
## 190 NA NA
## 191 NA NA
## 192 NA NA
## 193 NA NA
## 194 NA NA
## 195 NA NA
## 196 NA NA
## 197 NA NA
## 198 NA NA
## 199 NA NA
## 200 NA NA
## 201 NA NA
## 202 9 1.057632e-04
## 203 9 2.811461e-02
## 204 9 2.018697e-03
## 205 9 8.681777e-03
## 206 9 2.349782e-03
## 207 9 3.816671e-04
## 208 9 2.133657e-03
## 209 9 3.559161e-03
## 210 9 3.352233e-03
## 211 9 1.041537e-02
## 212 9 1.997085e-02
## 213 9 8.644990e-04
## 214 9 2.556296e-01
## 215 9 4.046591e-04
## 216 9 7.495391e-04
## 217 9 5.793983e-04
## 218 9 6.391775e-04
## 219 9 0.000000e+00
## 220 9 1.057632e-04
## 221 9 1.002451e-03
## 222 9 9.196798e-05
## 223 9 3.632735e-04
## 224 9 6.391775e-04
## 225 9 3.586751e-04
## 226 9 2.299200e-05
## 227 9 4.414463e-04
## 228 9 2.575103e-04
## 229 9 4.515628e-03
## 230 9 1.223174e-03
## 231 9 1.641628e-03
## 232 9 1.140403e-03
## 233 9 7.035551e-04
## 234 9 2.372774e-03
## 235 9 1.820966e-03
## 236 9 1.351929e-03
## 237 9 1.255363e-03
## 238 9 8.736958e-05
## 239 9 1.747392e-04
## 240 9 3.126911e-04
## 241 9 2.483136e-04
## 242 9 1.747392e-04
## 243 9 3.126911e-04
## 244 9 1.103616e-04
## 245 9 5.150207e-04
## 246 9 1.085222e-03
## 247 9 8.323102e-04
## 248 9 1.197883e-02
## 249 9 5.885951e-04
## 250 9 2.244019e-03
## 251 9 1.333076e-02
## 252 9 6.364184e-03
## 253 9 1.958918e-03
## 254 9 2.713055e-04
## 255 9 4.230527e-04
## 256 9 2.929180e-03
## 257 9 6.479144e-03
## 258 9 3.724703e-04
## 259 9 6.023903e-04
## 260 NA 3.465347e+00
## 261 NA 2.734878e+00
## 262 NA 7.433102e+00
## 263 NA 6.277464e-01
## 264 NA 1.950959e+00
## 265 NA 4.984424e+00
## 266 NA 2.325107e+00
## 267 NA 1.582779e+00
## 268 NA 2.703562e+00
## 269 NA 2.551020e+00
## 270 NA 6.578947e+00
## 271 NA 1.871102e+01
## 272 NA 3.000000e+00
## 273 NA 1.640420e+00
## 274 NA 8.671523e+00
## 275 NA 6.523157e-01
## 276 NA 0.000000e+00
## 277 NA 1.811594e+00
## 278 NA 7.095745e-01
## 279 NA 1.262626e+00
## 280 NA 3.664755e+00
## 281 NA 3.098500e+00
## 282 NA 1.279591e+00
## 283 NA 7.619048e+00
## 284 NA 2.412281e+00
## 285 NA 1.357323e+01
## 286 NA 2.383222e+00
## 287 NA 9.433962e-01
## 288 NA 3.570315e+01
## 289 NA 2.252599e+00
## 290 NA 2.202268e+00
## 291 NA 1.605652e+00
## 292 NA 4.269450e+00
## 293 NA 3.502069e+00
## 294 NA 1.876590e+01
## 295 NA 6.298450e+00
## 296 NA 9.980040e-01
## 297 NA 6.144393e+00
## 298 NA 3.346080e+00
## 299 NA 1.595745e+00
## 300 NA 2.666667e+00
## 301 NA 4.338395e+00
## 302 NA 9.931383e+00
## 303 NA 3.333333e+00
## 304 NA 2.833333e+00
## 305 NA 5.086072e+00
## 306 NA 5.243089e+00
## 307 NA 2.764613e+00
## 308 NA 4.427577e+00
## locationNew matrix
## 1 general Storm
## 2 general Storm
## 3 general Storm
## 4 general Storm
## 5 general Storm
## 6 general Storm
## 7 general Storm
## 8 general Storm
## 9 general Storm
## 10 general Storm
## 11 general Storm
## 12 general Storm
## 13 general WWTP
## 14 general WWTP
## 15 general WWTP
## 16 general WWTP
## 17 general WWTP
## 18 general WWTP
## 19 general WWTP
## 20 general WWTP
## 21 general WWTP
## 22 general WWTP
## 23 general WWTP
## 24 general WWTP
## 25 general WWTP
## 26 general WWTP
## 27 general WWTP
## 28 general WWTP
## 29 general WWTP
## 30 Lower South Bay Fish
## 31 Lower South Bay Fish
## 32 Lower South Bay Fish
## 33 Lower South Bay Fish
## 34 Lower South Bay Fish
## 35 Lower South Bay Fish
## 36 Lower South Bay Fish
## 37 Lower South Bay Fish
## 38 Lower South Bay Fish
## 39 Lower South Bay Fish
## 40 Lower South Bay Fish
## 41 Lower South Bay Fish
## 42 Lower South Bay Fish
## 43 Lower South Bay Fish
## 44 Tomales Bay Fish
## 45 Tomales Bay Fish
## 46 Tomales Bay Fish
## 47 Tomales Bay Fish
## 48 Tomales Bay Fish
## 49 Tomales Bay Fish
## 50 Tomales Bay Fish
## 51 Tomales Bay Fish
## 52 Tomales Bay Fish
## 53 Tomales Bay Fish
## 54 Tomales Bay Fish
## 55 Tomales Bay Fish
## 56 Tomales Bay Fish
## 57 Tomales Bay Fish
## 58 Tomales Bay Fish
## 59 Tomales Bay Fish
## 60 Tomales Bay Fish
## 61 Tomales Bay Fish
## 62 Tomales Bay Fish
## 63 Tomales Bay Fish
## 64 Tomales Bay Fish
## 65 Tomales Bay Fish
## 66 Tomales Bay Fish
## 67 Tomales Bay Fish
## 68 Tomales Bay Fish
## 69 Tomales Bay Fish
## 70 Tomales Bay Fish
## 71 Tomales Bay Fish
## 72 Tomales Bay Fish
## 73 Tomales Bay Fish
## 74 Central Bay Fish
## 75 Central Bay Fish
## 76 Central Bay Fish
## 77 Central Bay Fish
## 78 Central Bay Fish
## 79 Central Bay Fish
## 80 Central Bay Fish
## 81 Central Bay Fish
## 82 Central Bay Fish
## 83 Central Bay Fish
## 84 Central Bay Fish
## 85 Central Bay Fish
## 86 Central Bay Fish
## 87 Central Bay Fish
## 88 Central Bay Fish
## 89 Central Bay Fish
## 90 Central Bay Fish
## 91 Central Bay Fish
## 92 Central Bay Fish
## 93 Central Bay Fish
## 94 Central Bay Fish
## 95 Central Bay Fish
## 96 Central Bay Fish
## 97 Central Bay Fish
## 98 Central Bay Fish
## 99 Central Bay Fish
## 100 Central Bay Fish
## 101 Central Bay Fish
## 102 Central Bay Fish
## 103 Central Bay Fish
## 104 Central Bay Fish
## 105 Central Bay Fish
## 106 Central Bay Fish
## 107 Central Bay Fish
## 108 Central Bay Fish
## 109 Central Bay Fish
## 110 Central Bay Fish
## 111 Central Bay Fish
## 112 general Fish
## 113 general Fish
## 114 general Fish
## 115 general Fish
## 116 general Fish
## 117 general Fish
## 118 general Fish
## 119 general Fish
## 120 general Fish
## 121 general Fish
## 122 South Bay Fish
## 123 South Bay Fish
## 124 South Bay Fish
## 125 South Bay Fish
## 126 South Bay Fish
## 127 South Bay Fish
## 128 South Bay Fish
## 129 South Bay Fish
## 130 South Bay Fish
## 131 South Bay Fish
## 132 South Bay Fish
## 133 South Bay Fish
## 134 South Bay Fish
## 135 South Bay Fish
## 136 South Bay Fish
## 137 South Bay Fish
## 138 South Bay Fish
## 139 South Bay Fish
## 140 South Bay Fish
## 141 South Bay Fish
## 142 Central Bay Fish
## 143 Central Bay Fish
## 144 Central Bay Fish
## 145 Central Bay Fish
## 146 Central Bay Fish
## 147 Central Bay Fish
## 148 Central Bay Fish
## 149 Central Bay Fish
## 150 Central Bay Fish
## 151 Central Bay Fish
## 152 Central Bay Fish
## 153 Central Bay Fish
## 154 Central Bay Fish
## 155 Central Bay Fish
## 156 Central Bay Fish
## 157 Central Bay Fish
## 158 Central Bay Fish
## 159 Central Bay Fish
## 160 Central Bay Fish
## 161 Central Bay Fish
## 162 general Fish
## 163 general Fish
## 164 general Fish
## 165 general Fish
## 166 general Fish
## 167 general Fish
## 168 general Fish
## 169 general Fish
## 170 general Fish
## 171 general Fish
## 172 Tomales Bay Fish
## 173 Tomales Bay Fish
## 174 Tomales Bay Fish
## 175 Tomales Bay Fish
## 176 Tomales Bay Fish
## 177 Tomales Bay Fish
## 178 Tomales Bay Fish
## 179 Tomales Bay Fish
## 180 Tomales Bay Fish
## 181 Tomales Bay Fish
## 182 general Sediment
## 183 Central Bay Sediment
## 184 Central Bay Sediment
## 185 Central Bay Sediment
## 186 Central Bay Sediment
## 187 Lower South Bay Sediment
## 188 Lower South Bay Sediment
## 189 Lower South Bay Sediment
## 190 general Sediment
## 191 South Bay Sediment
## 192 South Bay Sediment
## 193 South Bay Sediment
## 194 general Sediment
## 195 general Sediment
## 196 general Sediment
## 197 general Sediment
## 198 general Sediment
## 199 general Sediment
## 200 Tomales Bay Sediment
## 201 Tomales Bay Sediment
## 202 Central Bay Surface (Manta Trawl)
## 203 Central Bay Surface (Manta Trawl)
## 204 Central Bay Surface (Manta Trawl)
## 205 Central Bay Surface (Manta Trawl)
## 206 Central Bay Surface (Manta Trawl)
## 207 Central Bay Surface (Manta Trawl)
## 208 Central Bay Surface (Manta Trawl)
## 209 Central Bay Surface (Manta Trawl)
## 210 Central Bay Surface (Manta Trawl)
## 211 Central Bay Surface (Manta Trawl)
## 212 Central Bay Surface (Manta Trawl)
## 213 Central Bay Surface (Manta Trawl)
## 214 Central Bay Surface (Manta Trawl)
## 215 National Marine Sanctuary Surface (Manta Trawl)
## 216 National Marine Sanctuary Surface (Manta Trawl)
## 217 National Marine Sanctuary Surface (Manta Trawl)
## 218 National Marine Sanctuary Surface (Manta Trawl)
## 219 National Marine Sanctuary Surface (Manta Trawl)
## 220 National Marine Sanctuary Surface (Manta Trawl)
## 221 National Marine Sanctuary Surface (Manta Trawl)
## 222 National Marine Sanctuary Surface (Manta Trawl)
## 223 National Marine Sanctuary Surface (Manta Trawl)
## 224 National Marine Sanctuary Surface (Manta Trawl)
## 225 National Marine Sanctuary Surface (Manta Trawl)
## 226 National Marine Sanctuary Surface (Manta Trawl)
## 227 National Marine Sanctuary Surface (Manta Trawl)
## 228 National Marine Sanctuary Surface (Manta Trawl)
## 229 Lower South Bay Surface (Manta Trawl)
## 230 Lower South Bay Surface (Manta Trawl)
## 231 Lower South Bay Surface (Manta Trawl)
## 232 Lower South Bay Surface (Manta Trawl)
## 233 Lower South Bay Surface (Manta Trawl)
## 234 Lower South Bay Surface (Manta Trawl)
## 235 National Marine Sanctuary Surface (Manta Trawl)
## 236 National Marine Sanctuary Surface (Manta Trawl)
## 237 National Marine Sanctuary Surface (Manta Trawl)
## 238 National Marine Sanctuary Surface (Manta Trawl)
## 239 National Marine Sanctuary Surface (Manta Trawl)
## 240 National Marine Sanctuary Surface (Manta Trawl)
## 241 National Marine Sanctuary Surface (Manta Trawl)
## 242 National Marine Sanctuary Surface (Manta Trawl)
## 243 National Marine Sanctuary Surface (Manta Trawl)
## 244 National Marine Sanctuary Surface (Manta Trawl)
## 245 South Bay Surface (Manta Trawl)
## 246 South Bay Surface (Manta Trawl)
## 247 South Bay Surface (Manta Trawl)
## 248 South Bay Surface (Manta Trawl)
## 249 South Bay Surface (Manta Trawl)
## 250 South Bay Surface (Manta Trawl)
## 251 South Bay Surface (Manta Trawl)
## 252 South Bay Surface (Manta Trawl)
## 253 general Surface (Manta Trawl)
## 254 general Surface (Manta Trawl)
## 255 general Surface (Manta Trawl)
## 256 general Surface (Manta Trawl)
## 257 general Surface (Manta Trawl)
## 258 general Surface (Manta Trawl)
## 259 general Surface (Manta Trawl)
## 260 Central Bay Surface (1L-grab)
## 261 Central Bay Surface (1L-grab)
## 262 Central Bay Surface (1L-grab)
## 263 Central Bay Surface (1L-grab)
## 264 Central Bay Surface (1L-grab)
## 265 Central Bay Surface (1L-grab)
## 266 Central Bay Surface (1L-grab)
## 267 Central Bay Surface (1L-grab)
## 268 Central Bay Surface (1L-grab)
## 269 Central Bay Surface (1L-grab)
## 270 Central Bay Surface (1L-grab)
## 271 Central Bay Surface (1L-grab)
## 272 National Marine Sanctuary Surface (1L-grab)
## 273 National Marine Sanctuary Surface (1L-grab)
## 274 National Marine Sanctuary Surface (1L-grab)
## 275 National Marine Sanctuary Surface (1L-grab)
## 276 National Marine Sanctuary Surface (1L-grab)
## 277 National Marine Sanctuary Surface (1L-grab)
## 278 National Marine Sanctuary Surface (1L-grab)
## 279 National Marine Sanctuary Surface (1L-grab)
## 280 National Marine Sanctuary Surface (1L-grab)
## 281 Lower South Bay Surface (1L-grab)
## 282 Lower South Bay Surface (1L-grab)
## 283 Lower South Bay Surface (1L-grab)
## 284 Lower South Bay Surface (1L-grab)
## 285 National Marine Sanctuary Surface (1L-grab)
## 286 National Marine Sanctuary Surface (1L-grab)
## 287 National Marine Sanctuary Surface (1L-grab)
## 288 National Marine Sanctuary Surface (1L-grab)
## 289 National Marine Sanctuary Surface (1L-grab)
## 290 National Marine Sanctuary Surface (1L-grab)
## 291 National Marine Sanctuary Surface (1L-grab)
## 292 National Marine Sanctuary Surface (1L-grab)
## 293 National Marine Sanctuary Surface (1L-grab)
## 294 National Marine Sanctuary Surface (1L-grab)
## 295 National Marine Sanctuary Surface (1L-grab)
## 296 South Bay Surface (1L-grab)
## 297 South Bay Surface (1L-grab)
## 298 South Bay Surface (1L-grab)
## 299 South Bay Surface (1L-grab)
## 300 South Bay Surface (1L-grab)
## 301 South Bay Surface (1L-grab)
## 302 South Bay Surface (1L-grab)
## 303 general Surface (1L-grab)
## 304 general Surface (1L-grab)
## 305 general Surface (1L-grab)
## 306 general Surface (1L-grab)
## 307 general Surface (1L-grab)
## 308 general Surface (1L-grab)
## locationMatrix proportion
## 1 general Storm 0.4675000
## 2 general Storm 0.4675000
## 3 general Storm 0.4675000
## 4 general Storm 0.4675000
## 5 general Storm 0.4675000
## 6 general Storm 0.4675000
## 7 general Storm 0.4675000
## 8 general Storm 0.4675000
## 9 general Storm 0.4675000
## 10 general Storm 0.4675000
## 11 general Storm 0.4675000
## 12 general Storm 0.4675000
## 13 general WWTP 0.2833333
## 14 general WWTP 0.2833333
## 15 general WWTP 0.2833333
## 16 general WWTP 0.2833333
## 17 general WWTP 0.2833333
## 18 general WWTP 0.2833333
## 19 general WWTP 0.2833333
## 20 general WWTP 0.2833333
## 21 general WWTP 0.2833333
## 22 general WWTP 0.2833333
## 23 general WWTP 0.2833333
## 24 general WWTP 0.2833333
## 25 general WWTP 0.2833333
## 26 general WWTP 0.2833333
## 27 general WWTP 0.2833333
## 28 general WWTP 0.2833333
## 29 general WWTP 0.2833333
## 30 Lower South Bay Fish 0.1500000
## 31 Lower South Bay Fish 0.1500000
## 32 Lower South Bay Fish 0.1500000
## 33 Lower South Bay Fish 0.1500000
## 34 Lower South Bay Fish 0.1500000
## 35 Lower South Bay Fish 0.1500000
## 36 Lower South Bay Fish 0.1500000
## 37 Lower South Bay Fish 0.1500000
## 38 Lower South Bay Fish 0.1500000
## 39 Lower South Bay Fish 0.1500000
## 40 Lower South Bay Fish 0.1500000
## 41 Lower South Bay Fish 0.1500000
## 42 Lower South Bay Fish 0.1500000
## 43 Lower South Bay Fish 0.1500000
## 44 Tomales Bay Fish 0.1300000
## 45 Tomales Bay Fish 0.1300000
## 46 Tomales Bay Fish 0.1300000
## 47 Tomales Bay Fish 0.1300000
## 48 Tomales Bay Fish 0.1300000
## 49 Tomales Bay Fish 0.1300000
## 50 Tomales Bay Fish 0.1300000
## 51 Tomales Bay Fish 0.1300000
## 52 Tomales Bay Fish 0.1300000
## 53 Tomales Bay Fish 0.1300000
## 54 Tomales Bay Fish 0.1300000
## 55 Tomales Bay Fish 0.1300000
## 56 Tomales Bay Fish 0.1300000
## 57 Tomales Bay Fish 0.1300000
## 58 Tomales Bay Fish 0.1300000
## 59 Tomales Bay Fish 0.1300000
## 60 Tomales Bay Fish 0.1300000
## 61 Tomales Bay Fish 0.1300000
## 62 Tomales Bay Fish 0.1300000
## 63 Tomales Bay Fish 0.1300000
## 64 Tomales Bay Fish 0.1300000
## 65 Tomales Bay Fish 0.1300000
## 66 Tomales Bay Fish 0.1300000
## 67 Tomales Bay Fish 0.1300000
## 68 Tomales Bay Fish 0.1300000
## 69 Tomales Bay Fish 0.1300000
## 70 Tomales Bay Fish 0.1300000
## 71 Tomales Bay Fish 0.1300000
## 72 Tomales Bay Fish 0.1300000
## 73 Tomales Bay Fish 0.1300000
## 74 Central Bay Fish 0.2100000
## 75 Central Bay Fish 0.2100000
## 76 Central Bay Fish 0.2100000
## 77 Central Bay Fish 0.2100000
## 78 Central Bay Fish 0.2100000
## 79 Central Bay Fish 0.2100000
## 80 Central Bay Fish 0.2100000
## 81 Central Bay Fish 0.2100000
## 82 Central Bay Fish 0.2100000
## 83 Central Bay Fish 0.2100000
## 84 Central Bay Fish 0.2100000
## 85 Central Bay Fish 0.2100000
## 86 Central Bay Fish 0.2100000
## 87 Central Bay Fish 0.2100000
## 88 Central Bay Fish 0.2100000
## 89 Central Bay Fish 0.2100000
## 90 Central Bay Fish 0.2100000
## 91 Central Bay Fish 0.2100000
## 92 Central Bay Fish 0.2100000
## 93 Central Bay Fish 0.2100000
## 94 Central Bay Fish 0.2100000
## 95 Central Bay Fish 0.2100000
## 96 Central Bay Fish 0.2100000
## 97 Central Bay Fish 0.2100000
## 98 Central Bay Fish 0.2100000
## 99 Central Bay Fish 0.2100000
## 100 Central Bay Fish 0.2100000
## 101 Central Bay Fish 0.2100000
## 102 Central Bay Fish 0.2100000
## 103 Central Bay Fish 0.2100000
## 104 Central Bay Fish 0.2100000
## 105 Central Bay Fish 0.2100000
## 106 Central Bay Fish 0.2100000
## 107 Central Bay Fish 0.2100000
## 108 Central Bay Fish 0.2100000
## 109 Central Bay Fish 0.2100000
## 110 Central Bay Fish 0.2100000
## 111 Central Bay Fish 0.2100000
## 112 general Fish 0.1775000
## 113 general Fish 0.1775000
## 114 general Fish 0.1775000
## 115 general Fish 0.1775000
## 116 general Fish 0.1775000
## 117 general Fish 0.1775000
## 118 general Fish 0.1775000
## 119 general Fish 0.1775000
## 120 general Fish 0.1775000
## 121 general Fish 0.1775000
## 122 South Bay Fish 0.2200000
## 123 South Bay Fish 0.2200000
## 124 South Bay Fish 0.2200000
## 125 South Bay Fish 0.2200000
## 126 South Bay Fish 0.2200000
## 127 South Bay Fish 0.2200000
## 128 South Bay Fish 0.2200000
## 129 South Bay Fish 0.2200000
## 130 South Bay Fish 0.2200000
## 131 South Bay Fish 0.2200000
## 132 South Bay Fish 0.2200000
## 133 South Bay Fish 0.2200000
## 134 South Bay Fish 0.2200000
## 135 South Bay Fish 0.2200000
## 136 South Bay Fish 0.2200000
## 137 South Bay Fish 0.2200000
## 138 South Bay Fish 0.2200000
## 139 South Bay Fish 0.2200000
## 140 South Bay Fish 0.2200000
## 141 South Bay Fish 0.2200000
## 142 Central Bay Fish 0.2100000
## 143 Central Bay Fish 0.2100000
## 144 Central Bay Fish 0.2100000
## 145 Central Bay Fish 0.2100000
## 146 Central Bay Fish 0.2100000
## 147 Central Bay Fish 0.2100000
## 148 Central Bay Fish 0.2100000
## 149 Central Bay Fish 0.2100000
## 150 Central Bay Fish 0.2100000
## 151 Central Bay Fish 0.2100000
## 152 Central Bay Fish 0.2100000
## 153 Central Bay Fish 0.2100000
## 154 Central Bay Fish 0.2100000
## 155 Central Bay Fish 0.2100000
## 156 Central Bay Fish 0.2100000
## 157 Central Bay Fish 0.2100000
## 158 Central Bay Fish 0.2100000
## 159 Central Bay Fish 0.2100000
## 160 Central Bay Fish 0.2100000
## 161 Central Bay Fish 0.2100000
## 162 general Fish 0.1775000
## 163 general Fish 0.1775000
## 164 general Fish 0.1775000
## 165 general Fish 0.1775000
## 166 general Fish 0.1775000
## 167 general Fish 0.1775000
## 168 general Fish 0.1775000
## 169 general Fish 0.1775000
## 170 general Fish 0.1775000
## 171 general Fish 0.1775000
## 172 Tomales Bay Fish 0.1300000
## 173 Tomales Bay Fish 0.1300000
## 174 Tomales Bay Fish 0.1300000
## 175 Tomales Bay Fish 0.1300000
## 176 Tomales Bay Fish 0.1300000
## 177 Tomales Bay Fish 0.1300000
## 178 Tomales Bay Fish 0.1300000
## 179 Tomales Bay Fish 0.1300000
## 180 Tomales Bay Fish 0.1300000
## 181 Tomales Bay Fish 0.1300000
## 182 general Sediment 0.3800000
## 183 Central Bay Sediment 0.4400000
## 184 Central Bay Sediment 0.4400000
## 185 Central Bay Sediment 0.4400000
## 186 Central Bay Sediment 0.4400000
## 187 Lower South Bay Sediment 0.5000000
## 188 Lower South Bay Sediment 0.5000000
## 189 Lower South Bay Sediment 0.5000000
## 190 general Sediment 0.3800000
## 191 South Bay Sediment 0.3900000
## 192 South Bay Sediment 0.3900000
## 193 South Bay Sediment 0.3900000
## 194 general Sediment 0.3800000
## 195 general Sediment 0.3800000
## 196 general Sediment 0.3800000
## 197 general Sediment 0.3800000
## 198 general Sediment 0.3800000
## 199 general Sediment 0.3800000
## 200 Tomales Bay Sediment 0.1800000
## 201 Tomales Bay Sediment 0.1800000
## 202 Central Bay Surface (Manta Trawl) 0.7321263
## 203 Central Bay Surface (Manta Trawl) 0.7321263
## 204 Central Bay Surface (Manta Trawl) 0.7321263
## 205 Central Bay Surface (Manta Trawl) 0.7321263
## 206 Central Bay Surface (Manta Trawl) 0.7321263
## 207 Central Bay Surface (Manta Trawl) 0.7321263
## 208 Central Bay Surface (Manta Trawl) 0.7321263
## 209 Central Bay Surface (Manta Trawl) 0.7321263
## 210 Central Bay Surface (Manta Trawl) 0.7321263
## 211 Central Bay Surface (Manta Trawl) 0.7321263
## 212 Central Bay Surface (Manta Trawl) 0.7321263
## 213 Central Bay Surface (Manta Trawl) 0.7321263
## 214 Central Bay Surface (Manta Trawl) 0.7321263
## 215 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 216 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 217 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 218 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 219 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 220 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 221 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 222 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 223 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 224 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 225 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 226 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 227 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 228 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 229 Lower South Bay Surface (Manta Trawl) 0.7321263
## 230 Lower South Bay Surface (Manta Trawl) 0.7321263
## 231 Lower South Bay Surface (Manta Trawl) 0.7321263
## 232 Lower South Bay Surface (Manta Trawl) 0.7321263
## 233 Lower South Bay Surface (Manta Trawl) 0.7321263
## 234 Lower South Bay Surface (Manta Trawl) 0.7321263
## 235 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 236 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 237 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 238 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 239 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 240 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 241 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 242 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 243 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 244 National Marine Sanctuary Surface (Manta Trawl) 0.7321263
## 245 South Bay Surface (Manta Trawl) 0.7321263
## 246 South Bay Surface (Manta Trawl) 0.7321263
## 247 South Bay Surface (Manta Trawl) 0.7321263
## 248 South Bay Surface (Manta Trawl) 0.7321263
## 249 South Bay Surface (Manta Trawl) 0.7321263
## 250 South Bay Surface (Manta Trawl) 0.7321263
## 251 South Bay Surface (Manta Trawl) 0.7321263
## 252 South Bay Surface (Manta Trawl) 0.7321263
## 253 general Surface (Manta Trawl) 0.7321263
## 254 general Surface (Manta Trawl) 0.7321263
## 255 general Surface (Manta Trawl) 0.7321263
## 256 general Surface (Manta Trawl) 0.7321263
## 257 general Surface (Manta Trawl) 0.7321263
## 258 general Surface (Manta Trawl) 0.7321263
## 259 general Surface (Manta Trawl) 0.7321263
## 260 Central Bay Surface (1L-grab) 0.6200000
## 261 Central Bay Surface (1L-grab) 0.6200000
## 262 Central Bay Surface (1L-grab) 0.6200000
## 263 Central Bay Surface (1L-grab) 0.6200000
## 264 Central Bay Surface (1L-grab) 0.6200000
## 265 Central Bay Surface (1L-grab) 0.6200000
## 266 Central Bay Surface (1L-grab) 0.6200000
## 267 Central Bay Surface (1L-grab) 0.6200000
## 268 Central Bay Surface (1L-grab) 0.6200000
## 269 Central Bay Surface (1L-grab) 0.6200000
## 270 Central Bay Surface (1L-grab) 0.6200000
## 271 Central Bay Surface (1L-grab) 0.6200000
## 272 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 273 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 274 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 275 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 276 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 277 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 278 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 279 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 280 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 281 Lower South Bay Surface (1L-grab) 0.7200000
## 282 Lower South Bay Surface (1L-grab) 0.7200000
## 283 Lower South Bay Surface (1L-grab) 0.7200000
## 284 Lower South Bay Surface (1L-grab) 0.7200000
## 285 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 286 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 287 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 288 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 289 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 290 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 291 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 292 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 293 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 294 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 295 National Marine Sanctuary Surface (1L-grab) 0.3400000
## 296 South Bay Surface (1L-grab) 0.4500000
## 297 South Bay Surface (1L-grab) 0.4500000
## 298 South Bay Surface (1L-grab) 0.4500000
## 299 South Bay Surface (1L-grab) 0.4500000
## 300 South Bay Surface (1L-grab) 0.4500000
## 301 South Bay Surface (1L-grab) 0.4500000
## 302 South Bay Surface (1L-grab) 0.4500000
## 303 general Surface (1L-grab) 0.4900000
## 304 general Surface (1L-grab) 0.4900000
## 305 general Surface (1L-grab) 0.4900000
## 306 general Surface (1L-grab) 0.4900000
## 307 general Surface (1L-grab) 0.4900000
## 308 general Surface (1L-grab) 0.4900000
## proportion.upper95 proportion.lower95 proportion.sd proportion.n
## 1 NA NA NA NA
## 2 NA NA NA NA
## 3 NA NA NA NA
## 4 NA NA NA NA
## 5 NA NA NA NA
## 6 NA NA NA NA
## 7 NA NA NA NA
## 8 NA NA NA NA
## 9 NA NA NA NA
## 10 NA NA NA NA
## 11 NA NA NA NA
## 12 NA NA NA NA
## 13 NA NA NA NA
## 14 NA NA NA NA
## 15 NA NA NA NA
## 16 NA NA NA NA
## 17 NA NA NA NA
## 18 NA NA NA NA
## 19 NA NA NA NA
## 20 NA NA NA NA
## 21 NA NA NA NA
## 22 NA NA NA NA
## 23 NA NA NA NA
## 24 NA NA NA NA
## 25 NA NA NA NA
## 26 NA NA NA NA
## 27 NA NA NA NA
## 28 NA NA NA NA
## 29 NA NA NA NA
## 30 NA NA NA NA
## 31 NA NA NA NA
## 32 NA NA NA NA
## 33 NA NA NA NA
## 34 NA NA NA NA
## 35 NA NA NA NA
## 36 NA NA NA NA
## 37 NA NA NA NA
## 38 NA NA NA NA
## 39 NA NA NA NA
## 40 NA NA NA NA
## 41 NA NA NA NA
## 42 NA NA NA NA
## 43 NA NA NA NA
## 44 NA NA NA NA
## 45 NA NA NA NA
## 46 NA NA NA NA
## 47 NA NA NA NA
## 48 NA NA NA NA
## 49 NA NA NA NA
## 50 NA NA NA NA
## 51 NA NA NA NA
## 52 NA NA NA NA
## 53 NA NA NA NA
## 54 NA NA NA NA
## 55 NA NA NA NA
## 56 NA NA NA NA
## 57 NA NA NA NA
## 58 NA NA NA NA
## 59 NA NA NA NA
## 60 NA NA NA NA
## 61 NA NA NA NA
## 62 NA NA NA NA
## 63 NA NA NA NA
## 64 NA NA NA NA
## 65 NA NA NA NA
## 66 NA NA NA NA
## 67 NA NA NA NA
## 68 NA NA NA NA
## 69 NA NA NA NA
## 70 NA NA NA NA
## 71 NA NA NA NA
## 72 NA NA NA NA
## 73 NA NA NA NA
## 74 NA NA NA NA
## 75 NA NA NA NA
## 76 NA NA NA NA
## 77 NA NA NA NA
## 78 NA NA NA NA
## 79 NA NA NA NA
## 80 NA NA NA NA
## 81 NA NA NA NA
## 82 NA NA NA NA
## 83 NA NA NA NA
## 84 NA NA NA NA
## 85 NA NA NA NA
## 86 NA NA NA NA
## 87 NA NA NA NA
## 88 NA NA NA NA
## 89 NA NA NA NA
## 90 NA NA NA NA
## 91 NA NA NA NA
## 92 NA NA NA NA
## 93 NA NA NA NA
## 94 NA NA NA NA
## 95 NA NA NA NA
## 96 NA NA NA NA
## 97 NA NA NA NA
## 98 NA NA NA NA
## 99 NA NA NA NA
## 100 NA NA NA NA
## 101 NA NA NA NA
## 102 NA NA NA NA
## 103 NA NA NA NA
## 104 NA NA NA NA
## 105 NA NA NA NA
## 106 NA NA NA NA
## 107 NA NA NA NA
## 108 NA NA NA NA
## 109 NA NA NA NA
## 110 NA NA NA NA
## 111 NA NA NA NA
## 112 NA NA NA NA
## 113 NA NA NA NA
## 114 NA NA NA NA
## 115 NA NA NA NA
## 116 NA NA NA NA
## 117 NA NA NA NA
## 118 NA NA NA NA
## 119 NA NA NA NA
## 120 NA NA NA NA
## 121 NA NA NA NA
## 122 NA NA NA NA
## 123 NA NA NA NA
## 124 NA NA NA NA
## 125 NA NA NA NA
## 126 NA NA NA NA
## 127 NA NA NA NA
## 128 NA NA NA NA
## 129 NA NA NA NA
## 130 NA NA NA NA
## 131 NA NA NA NA
## 132 NA NA NA NA
## 133 NA NA NA NA
## 134 NA NA NA NA
## 135 NA NA NA NA
## 136 NA NA NA NA
## 137 NA NA NA NA
## 138 NA NA NA NA
## 139 NA NA NA NA
## 140 NA NA NA NA
## 141 NA NA NA NA
## 142 NA NA NA NA
## 143 NA NA NA NA
## 144 NA NA NA NA
## 145 NA NA NA NA
## 146 NA NA NA NA
## 147 NA NA NA NA
## 148 NA NA NA NA
## 149 NA NA NA NA
## 150 NA NA NA NA
## 151 NA NA NA NA
## 152 NA NA NA NA
## 153 NA NA NA NA
## 154 NA NA NA NA
## 155 NA NA NA NA
## 156 NA NA NA NA
## 157 NA NA NA NA
## 158 NA NA NA NA
## 159 NA NA NA NA
## 160 NA NA NA NA
## 161 NA NA NA NA
## 162 NA NA NA NA
## 163 NA NA NA NA
## 164 NA NA NA NA
## 165 NA NA NA NA
## 166 NA NA NA NA
## 167 NA NA NA NA
## 168 NA NA NA NA
## 169 NA NA NA NA
## 170 NA NA NA NA
## 171 NA NA NA NA
## 172 NA NA NA NA
## 173 NA NA NA NA
## 174 NA NA NA NA
## 175 NA NA NA NA
## 176 NA NA NA NA
## 177 NA NA NA NA
## 178 NA NA NA NA
## 179 NA NA NA NA
## 180 NA NA NA NA
## 181 NA NA NA NA
## 182 NA NA NA NA
## 183 NA NA NA NA
## 184 NA NA NA NA
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## unaligned.particle.L.master
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## 29 1.935167e-02
## 30 NA
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## particles.fish.blank.corrected.particle.corrected
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## 7 NA
## 8 NA
## 9 NA
## 10 NA
## 11 NA
## 12 NA
## 13 NA
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## particles.kg.blank.corrected.particle.corrected
## 1 NA
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## 3 NA
## 4 NA
## 5 NA
## 6 NA
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## 1 NA
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## 64 NA
## 65 NA
## 66 NA
## 67 NA
## 68 NA
## 69 NA
## 70 NA
## 71 NA
## 72 NA
## 73 NA
## 74 NA
## 75 NA
## 76 NA
## 77 NA
## 78 NA
## 79 NA
## 80 NA
## 81 NA
## 82 NA
## 83 NA
## 84 NA
## 85 NA
## 86 NA
## 87 NA
## 88 NA
## 89 NA
## 90 NA
## 91 NA
## 92 NA
## 93 NA
## 94 NA
## 95 NA
## 96 NA
## 97 NA
## 98 NA
## 99 NA
## 100 NA
## 101 NA
## 102 NA
## 103 NA
## 104 NA
## 105 NA
## 106 NA
## 107 NA
## 108 NA
## 109 NA
## 110 NA
## 111 NA
## 112 NA
## 113 NA
## 114 NA
## 115 NA
## 116 NA
## 117 NA
## 118 NA
## 119 NA
## 120 NA
## 121 NA
## 122 NA
## 123 NA
## 124 NA
## 125 NA
## 126 NA
## 127 NA
## 128 NA
## 129 NA
## 130 NA
## 131 NA
## 132 NA
## 133 NA
## 134 NA
## 135 NA
## 136 NA
## 137 NA
## 138 NA
## 139 NA
## 140 NA
## 141 NA
## 142 NA
## 143 NA
## 144 NA
## 145 NA
## 146 NA
## 147 NA
## 148 NA
## 149 NA
## 150 NA
## 151 NA
## 152 NA
## 153 NA
## 154 NA
## 155 NA
## 156 NA
## 157 NA
## 158 NA
## 159 NA
## 160 NA
## 161 NA
## 162 NA
## 163 NA
## 164 NA
## 165 NA
## 166 NA
## 167 NA
## 168 NA
## 169 NA
## 170 NA
## 171 NA
## 172 NA
## 173 NA
## 174 NA
## 175 NA
## 176 NA
## 177 NA
## 178 NA
## 179 NA
## 180 NA
## 181 NA
## 182 NA
## 183 NA
## 184 NA
## 185 NA
## 186 NA
## 187 NA
## 188 NA
## 189 NA
## 190 NA
## 191 NA
## 192 NA
## 193 NA
## 194 NA
## 195 NA
## 196 NA
## 197 NA
## 198 NA
## 199 NA
## 200 NA
## 201 NA
## 202 1.823833e-05
## 203 4.848223e-03
## 204 3.481141e-04
## 205 1.497129e-03
## 206 4.052080e-04
## 207 6.581657e-05
## 208 3.679384e-04
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## 211 1.796079e-03
## 212 3.443872e-03
## 213 1.490785e-04
## 214 4.408203e-02
## 215 6.978142e-05
## 216 1.292542e-04
## 217 9.991431e-05
## 218 1.102229e-04
## 219 0.000000e+00
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## 221 1.728676e-04
## 222 1.585941e-05
## 223 6.264468e-05
## 224 1.102229e-04
## 225 6.185171e-05
## 226 3.964853e-06
## 227 7.612519e-05
## 228 4.440636e-05
## 229 7.786972e-04
## 230 2.109302e-04
## 231 2.830905e-04
## 232 1.966567e-04
## 233 1.213245e-04
## 234 4.091729e-04
## 235 3.140164e-04
## 236 2.331334e-04
## 237 2.164810e-04
## 238 1.506644e-05
## 239 3.013289e-05
## 240 5.392201e-05
## 241 4.282042e-05
## 242 3.013289e-05
## 243 5.392201e-05
## 244 1.903130e-05
## 245 8.881272e-05
## 246 1.871411e-04
## 247 1.435277e-04
## 248 2.065689e-03
## 249 1.015002e-04
## 250 3.869697e-04
## 251 2.298822e-03
## 252 1.097471e-03
## 253 3.378055e-04
## 254 4.678527e-05
## 255 7.295330e-05
## 256 5.051223e-04
## 257 1.117296e-03
## 258 6.423063e-05
## 259 1.038792e-04
## 260 NA
## 261 NA
## 262 NA
## 263 NA
## 264 NA
## 265 NA
## 266 NA
## 267 NA
## 268 NA
## 269 NA
## 270 NA
## 271 NA
## 272 NA
## 273 NA
## 274 NA
## 275 NA
## 276 NA
## 277 NA
## 278 NA
## 279 NA
## 280 NA
## 281 NA
## 282 NA
## 283 NA
## 284 NA
## 285 NA
## 286 NA
## 287 NA
## 288 NA
## 289 NA
## 290 NA
## 291 NA
## 292 NA
## 293 NA
## 294 NA
## 295 NA
## 296 NA
## 297 NA
## 298 NA
## 299 NA
## 300 NA
## 301 NA
## 302 NA
## 303 NA
## 304 NA
## 305 NA
## 306 NA
## 307 NA
## 308 NA
## particles.L.blank.corrected.particle.corrected.lower95
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## 7 NA
## 8 NA
## 9 NA
## 10 NA
## 11 NA
## 12 NA
## 13 NA
## 14 NA
## 15 NA
## 16 NA
## 17 NA
## 18 NA
## 19 NA
## 20 NA
## 21 NA
## 22 NA
## 23 NA
## 24 NA
## 25 NA
## 26 NA
## 27 NA
## 28 NA
## 29 NA
## 30 NA
## 31 NA
## 32 NA
## 33 NA
## 34 NA
## 35 NA
## 36 NA
## 37 NA
## 38 NA
## 39 NA
## 40 NA
## 41 NA
## 42 NA
## 43 NA
## 44 NA
## 45 NA
## 46 NA
## 47 NA
## 48 NA
## 49 NA
## 50 NA
## 51 NA
## 52 NA
## 53 NA
## 54 NA
## 55 NA
## 56 NA
## 57 NA
## 58 NA
## 59 NA
## 60 NA
## 61 NA
## 62 NA
## 63 NA
## 64 NA
## 65 NA
## 66 NA
## 67 NA
## 68 NA
## 69 NA
## 70 NA
## 71 NA
## 72 NA
## 73 NA
## 74 NA
## 75 NA
## 76 NA
## 77 NA
## 78 NA
## 79 NA
## 80 NA
## 81 NA
## 82 NA
## 83 NA
## 84 NA
## 85 NA
## 86 NA
## 87 NA
## 88 NA
## 89 NA
## 90 NA
## 91 NA
## 92 NA
## 93 NA
## 94 NA
## 95 NA
## 96 NA
## 97 NA
## 98 NA
## 99 NA
## 100 NA
## 101 NA
## 102 NA
## 103 NA
## 104 NA
## 105 NA
## 106 NA
## 107 NA
## 108 NA
## 109 NA
## 110 NA
## 111 NA
## 112 NA
## 113 NA
## 114 NA
## 115 NA
## 116 NA
## 117 NA
## 118 NA
## 119 NA
## 120 NA
## 121 NA
## 122 NA
## 123 NA
## 124 NA
## 125 NA
## 126 NA
## 127 NA
## 128 NA
## 129 NA
## 130 NA
## 131 NA
## 132 NA
## 133 NA
## 134 NA
## 135 NA
## 136 NA
## 137 NA
## 138 NA
## 139 NA
## 140 NA
## 141 NA
## 142 NA
## 143 NA
## 144 NA
## 145 NA
## 146 NA
## 147 NA
## 148 NA
## 149 NA
## 150 NA
## 151 NA
## 152 NA
## 153 NA
## 154 NA
## 155 NA
## 156 NA
## 157 NA
## 158 NA
## 159 NA
## 160 NA
## 161 NA
## 162 NA
## 163 NA
## 164 NA
## 165 NA
## 166 NA
## 167 NA
## 168 NA
## 169 NA
## 170 NA
## 171 NA
## 172 NA
## 173 NA
## 174 NA
## 175 NA
## 176 NA
## 177 NA
## 178 NA
## 179 NA
## 180 NA
## 181 NA
## 182 NA
## 183 NA
## 184 NA
## 185 NA
## 186 NA
## 187 NA
## 188 NA
## 189 NA
## 190 NA
## 191 NA
## 192 NA
## 193 NA
## 194 NA
## 195 NA
## 196 NA
## 197 NA
## 198 NA
## 199 NA
## 200 NA
## 201 NA
## 202 1.543948e-05
## 203 4.104217e-03
## 204 2.946927e-04
## 205 1.267380e-03
## 206 3.430250e-04
## 207 5.571639e-05
## 208 3.114748e-04
## 209 5.195721e-04
## 210 4.893644e-04
## 211 1.520453e-03
## 212 2.915377e-03
## 213 1.262010e-04
## 214 3.731723e-02
## 215 5.907280e-05
## 216 1.094189e-04
## 217 8.458151e-05
## 218 9.330817e-05
## 219 0.000000e+00
## 220 1.543948e-05
## 221 1.463394e-04
## 222 1.342564e-05
## 223 5.303126e-05
## 224 9.330817e-05
## 225 5.235998e-05
## 226 3.356409e-06
## 227 6.444305e-05
## 228 3.759178e-05
## 229 6.591987e-04
## 230 1.785610e-04
## 231 2.396476e-04
## 232 1.664779e-04
## 233 1.027061e-04
## 234 3.463814e-04
## 235 2.658276e-04
## 236 1.973569e-04
## 237 1.832599e-04
## 238 1.275435e-05
## 239 2.550871e-05
## 240 4.564716e-05
## 241 3.624922e-05
## 242 2.550871e-05
## 243 4.564716e-05
## 244 1.611076e-05
## 245 7.518356e-05
## 246 1.584225e-04
## 247 1.215020e-04
## 248 1.748689e-03
## 249 8.592407e-05
## 250 3.275855e-04
## 251 1.946046e-03
## 252 9.290540e-04
## 253 2.859661e-04
## 254 3.960563e-05
## 255 6.175793e-05
## 256 4.276065e-04
## 257 9.458361e-04
## 258 5.437383e-05
## 259 8.793792e-05
## 260 NA
## 261 NA
## 262 NA
## 263 NA
## 264 NA
## 265 NA
## 266 NA
## 267 NA
## 268 NA
## 269 NA
## 270 NA
## 271 NA
## 272 NA
## 273 NA
## 274 NA
## 275 NA
## 276 NA
## 277 NA
## 278 NA
## 279 NA
## 280 NA
## 281 NA
## 282 NA
## 283 NA
## 284 NA
## 285 NA
## 286 NA
## 287 NA
## 288 NA
## 289 NA
## 290 NA
## 291 NA
## 292 NA
## 293 NA
## 294 NA
## 295 NA
## 296 NA
## 297 NA
## 298 NA
## 299 NA
## 300 NA
## 301 NA
## 302 NA
## 303 NA
## 304 NA
## 305 NA
## 306 NA
## 307 NA
## 308 NA
## particles.L.blank.corrected.particle.corrected.sd
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## 7 NA
## 8 NA
## 9 NA
## 10 NA
## 11 NA
## 12 NA
## 13 NA
## 14 NA
## 15 NA
## 16 NA
## 17 NA
## 18 NA
## 19 NA
## 20 NA
## 21 NA
## 22 NA
## 23 NA
## 24 NA
## 25 NA
## 26 NA
## 27 NA
## 28 NA
## 29 NA
## 30 NA
## 31 NA
## 32 NA
## 33 NA
## 34 NA
## 35 NA
## 36 NA
## 37 NA
## 38 NA
## 39 NA
## 40 NA
## 41 NA
## 42 NA
## 43 NA
## 44 NA
## 45 NA
## 46 NA
## 47 NA
## 48 NA
## 49 NA
## 50 NA
## 51 NA
## 52 NA
## 53 NA
## 54 NA
## 55 NA
## 56 NA
## 57 NA
## 58 NA
## 59 NA
## 60 NA
## 61 NA
## 62 NA
## 63 NA
## 64 NA
## 65 NA
## 66 NA
## 67 NA
## 68 NA
## 69 NA
## 70 NA
## 71 NA
## 72 NA
## 73 NA
## 74 NA
## 75 NA
## 76 NA
## 77 NA
## 78 NA
## 79 NA
## 80 NA
## 81 NA
## 82 NA
## 83 NA
## 84 NA
## 85 NA
## 86 NA
## 87 NA
## 88 NA
## 89 NA
## 90 NA
## 91 NA
## 92 NA
## 93 NA
## 94 NA
## 95 NA
## 96 NA
## 97 NA
## 98 NA
## 99 NA
## 100 NA
## 101 NA
## 102 NA
## 103 NA
## 104 NA
## 105 NA
## 106 NA
## 107 NA
## 108 NA
## 109 NA
## 110 NA
## 111 NA
## 112 NA
## 113 NA
## 114 NA
## 115 NA
## 116 NA
## 117 NA
## 118 NA
## 119 NA
## 120 NA
## 121 NA
## 122 NA
## 123 NA
## 124 NA
## 125 NA
## 126 NA
## 127 NA
## 128 NA
## 129 NA
## 130 NA
## 131 NA
## 132 NA
## 133 NA
## 134 NA
## 135 NA
## 136 NA
## 137 NA
## 138 NA
## 139 NA
## 140 NA
## 141 NA
## 142 NA
## 143 NA
## 144 NA
## 145 NA
## 146 NA
## 147 NA
## 148 NA
## 149 NA
## 150 NA
## 151 NA
## 152 NA
## 153 NA
## 154 NA
## 155 NA
## 156 NA
## 157 NA
## 158 NA
## 159 NA
## 160 NA
## 161 NA
## 162 NA
## 163 NA
## 164 NA
## 165 NA
## 166 NA
## 167 NA
## 168 NA
## 169 NA
## 170 NA
## 171 NA
## 172 NA
## 173 NA
## 174 NA
## 175 NA
## 176 NA
## 177 NA
## 178 NA
## 179 NA
## 180 NA
## 181 NA
## 182 NA
## 183 NA
## 184 NA
## 185 NA
## 186 NA
## 187 NA
## 188 NA
## 189 NA
## 190 NA
## 191 NA
## 192 NA
## 193 NA
## 194 NA
## 195 NA
## 196 NA
## 197 NA
## 198 NA
## 199 NA
## 200 NA
## 201 NA
## 202 5.437592e-06
## 203 1.445454e-03
## 204 1.037871e-04
## 205 4.463554e-04
## 206 1.208091e-04
## 207 1.962261e-05
## 208 1.096975e-04
## 209 1.829868e-04
## 210 1.723480e-04
## 211 5.354846e-04
## 212 1.026759e-03
## 213 4.444640e-05
## 214 1.314266e-02
## 215 2.080470e-05
## 216 3.853598e-05
## 217 2.978855e-05
## 218 3.286197e-05
## 219 0.000000e+00
## 220 5.437592e-06
## 221 5.153892e-05
## 222 4.728341e-06
## 223 1.867695e-05
## 224 3.286197e-05
## 225 1.844053e-05
## 226 1.182085e-06
## 227 2.269604e-05
## 228 1.323935e-05
## 229 2.321615e-04
## 230 6.288693e-05
## 231 8.440088e-05
## 232 5.863143e-05
## 233 3.617181e-05
## 234 1.219912e-04
## 235 9.362115e-05
## 236 6.950661e-05
## 237 6.454185e-05
## 238 4.491924e-06
## 239 8.983848e-06
## 240 1.607636e-05
## 241 1.276652e-05
## 242 8.983848e-06
## 243 1.607636e-05
## 244 5.674009e-06
## 245 2.647871e-05
## 246 5.579442e-05
## 247 4.279148e-05
## 248 6.158664e-04
## 249 3.026138e-05
## 250 1.153715e-04
## 251 6.853730e-04
## 252 3.272012e-04
## 253 1.007137e-04
## 254 1.394861e-05
## 255 2.175037e-05
## 256 1.505977e-04
## 257 3.331116e-04
## 258 1.914978e-05
## 259 3.097063e-05
## 260 NA
## 261 NA
## 262 NA
## 263 NA
## 264 NA
## 265 NA
## 266 NA
## 267 NA
## 268 NA
## 269 NA
## 270 NA
## 271 NA
## 272 NA
## 273 NA
## 274 NA
## 275 NA
## 276 NA
## 277 NA
## 278 NA
## 279 NA
## 280 NA
## 281 NA
## 282 NA
## 283 NA
## 284 NA
## 285 NA
## 286 NA
## 287 NA
## 288 NA
## 289 NA
## 290 NA
## 291 NA
## 292 NA
## 293 NA
## 294 NA
## 295 NA
## 296 NA
## 297 NA
## 298 NA
## 299 NA
## 300 NA
## 301 NA
## 302 NA
## 303 NA
## 304 NA
## 305 NA
## 306 NA
## 307 NA
## 308 NA
## particles.L.blank.corrected.particle.corrected.fiber.corrected CF
## 1 3.504095e+00 59.87151
## 2 3.547090e+00 59.87151
## 3 1.547821e+01 59.87151
## 4 1.210310e+01 59.87151
## 5 1.061977e+01 59.87151
## 6 1.812241e+01 59.87151
## 7 2.162650e+01 59.87151
## 8 4.965926e+00 59.87151
## 9 2.343229e+00 59.87151
## 10 3.835157e+01 59.87151
## 11 2.657093e+01 59.87151
## 12 5.247544e+01 59.87151
## 13 8.403574e-02 17.02770
## 14 1.498312e-02 17.02770
## 15 2.316520e-01 17.02770
## 16 5.485124e-02 17.02770
## 17 3.908639e-03 17.02770
## 18 7.035551e-03 17.02770
## 19 2.423356e-02 17.02770
## 20 3.035710e-02 17.02770
## 21 2.892393e-02 17.02770
## 22 1.013640e-01 17.02770
## 23 4.820655e-03 17.02770
## 24 7.165839e-03 17.02770
## 25 1.411019e-01 17.02770
## 26 2.075487e-01 17.02770
## 27 2.366030e-01 17.02770
## 28 9.771598e-03 17.02770
## 29 8.898669e-02 17.02770
## 30 NA 11.37543
## 31 NA 11.37543
## 32 NA 11.37543
## 33 NA 11.37543
## 34 NA 11.37543
## 35 NA 11.37543
## 36 NA 11.37543
## 37 NA 11.37543
## 38 NA 11.37543
## 39 NA 11.37543
## 40 NA 11.37543
## 41 NA 11.37543
## 42 NA 11.37543
## 43 NA 11.37543
## 44 NA 11.37543
## 45 NA 11.37543
## 46 NA 11.37543
## 47 NA 11.37543
## 48 NA 11.37543
## 49 NA 11.37543
## 50 NA 11.37543
## 51 NA 11.37543
## 52 NA 11.37543
## 53 NA 11.37543
## 54 NA 11.37543
## 55 NA 11.37543
## 56 NA 11.37543
## 57 NA 11.37543
## 58 NA 11.37543
## 59 NA 11.37543
## 60 NA 11.37543
## 61 NA 11.37543
## 62 NA 11.37543
## 63 NA 11.37543
## 64 NA 11.37543
## 65 NA 11.37543
## 66 NA 11.37543
## 67 NA 11.37543
## 68 NA 11.37543
## 69 NA 11.37543
## 70 NA 11.37543
## 71 NA 11.37543
## 72 NA 11.37543
## 73 NA 11.37543
## 74 NA 11.37543
## 75 NA 11.37543
## 76 NA 11.37543
## 77 NA 11.37543
## 78 NA 11.37543
## 79 NA 11.37543
## 80 NA 11.37543
## 81 NA 11.37543
## 82 NA 11.37543
## 83 NA 11.37543
## 84 NA 11.37543
## 85 NA 11.37543
## 86 NA 11.37543
## 87 NA 11.37543
## 88 NA 11.37543
## 89 NA 11.37543
## 90 NA 11.37543
## 91 NA 11.37543
## 92 NA 11.37543
## 93 NA 11.37543
## 94 NA 11.37543
## 95 NA 11.37543
## 96 NA 11.37543
## 97 NA 11.37543
## 98 NA 11.37543
## 99 NA 11.37543
## 100 NA 11.37543
## 101 NA 11.37543
## 102 NA 11.37543
## 103 NA 11.37543
## 104 NA 11.37543
## 105 NA 11.37543
## 106 NA 11.37543
## 107 NA 11.37543
## 108 NA 11.37543
## 109 NA 11.37543
## 110 NA 11.37543
## 111 NA 11.37543
## 112 NA 11.37543
## 113 NA 11.37543
## 114 NA 11.37543
## 115 NA 11.37543
## 116 NA 11.37543
## 117 NA 11.37543
## 118 NA 11.37543
## 119 NA 11.37543
## 120 NA 11.37543
## 121 NA 11.37543
## 122 NA 11.37543
## 123 NA 11.37543
## 124 NA 11.37543
## 125 NA 11.37543
## 126 NA 11.37543
## 127 NA 11.37543
## 128 NA 11.37543
## 129 NA 11.37543
## 130 NA 11.37543
## 131 NA 11.37543
## 132 NA 11.37543
## 133 NA 11.37543
## 134 NA 11.37543
## 135 NA 11.37543
## 136 NA 11.37543
## 137 NA 11.37543
## 138 NA 11.37543
## 139 NA 11.37543
## 140 NA 11.37543
## 141 NA 11.37543
## 142 NA 11.37543
## 143 NA 11.37543
## 144 NA 11.37543
## 145 NA 11.37543
## 146 NA 11.37543
## 147 NA 11.37543
## 148 NA 11.37543
## 149 NA 11.37543
## 150 NA 11.37543
## 151 NA 11.37543
## 152 NA 11.37543
## 153 NA 11.37543
## 154 NA 11.37543
## 155 NA 11.37543
## 156 NA 11.37543
## 157 NA 11.37543
## 158 NA 11.37543
## 159 NA 11.37543
## 160 NA 11.37543
## 161 NA 11.37543
## 162 NA 11.37543
## 163 NA 11.37543
## 164 NA 11.37543
## 165 NA 11.37543
## 166 NA 11.37543
## 167 NA 11.37543
## 168 NA 11.37543
## 169 NA 11.37543
## 170 NA 11.37543
## 171 NA 11.37543
## 172 NA 11.37543
## 173 NA 11.37543
## 174 NA 11.37543
## 175 NA 11.37543
## 176 NA 11.37543
## 177 NA 11.37543
## 178 NA 11.37543
## 179 NA 11.37543
## 180 NA 11.37543
## 181 NA 11.37543
## 182 NA 66.21310
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## 184 NA 66.21310
## 185 NA 66.21310
## 186 NA 66.21310
## 187 NA 66.21310
## 188 NA 66.21310
## 189 NA 66.21310
## 190 NA 66.21310
## 191 NA 66.21310
## 192 NA 66.21310
## 193 NA 66.21310
## 194 NA 66.21310
## 195 NA 66.21310
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## 199 NA 66.21310
## 200 NA 66.21310
## 201 NA 66.21310
## 202 7.743200e-05 356.68888
## 203 2.058345e-02 356.68888
## 204 1.477941e-03 356.68888
## 205 6.356157e-03 356.68888
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## 214 1.871531e-01 356.68888
## 215 2.962616e-04 356.68888
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## 218 4.679586e-04 356.68888
## 219 0.000000e+00 356.68888
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## 225 2.625955e-04 356.68888
## 226 1.683304e-05 356.68888
## 227 3.231944e-04 356.68888
## 228 1.885301e-04 356.68888
## 229 3.306010e-03 356.68888
## 230 8.955179e-04 356.68888
## 231 1.201879e-03 356.68888
## 232 8.349190e-04 356.68888
## 233 5.150911e-04 356.68888
## 234 1.737170e-03 356.68888
## 235 1.333177e-03 356.68888
## 236 9.897830e-04 356.68888
## 237 9.190842e-04 356.68888
## 238 6.396557e-05 356.68888
## 239 1.279311e-04 356.68888
## 240 2.289294e-04 356.68888
## 241 1.817969e-04 356.68888
## 242 1.279311e-04 356.68888
## 243 2.289294e-04 356.68888
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## particle.fish.master particles.kg.master source Reference compartment
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## 281 NA NA SFEI Zhu et. al 2021 marine
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## Conc CF.sd alpha alpha.sd alpha.n alpha.se alpha.upper.68
## 1 4.562359e+01 5.50 1.87 0.13 22 0.02771609 1.897716
## 2 4.618339e+01 5.50 1.87 0.13 22 0.02771609 1.897716
## 3 2.015275e+02 5.50 1.87 0.13 22 0.02771609 1.897716
## 4 1.575833e+02 5.50 1.87 0.13 22 0.02771609 1.897716
## 5 1.382703e+02 5.50 1.87 0.13 22 0.02771609 1.897716
## 6 2.359551e+02 5.50 1.87 0.13 22 0.02771609 1.897716
## 7 2.815787e+02 5.50 1.87 0.13 22 0.02771609 1.897716
## 8 6.465674e+01 5.50 1.87 0.13 22 0.02771609 1.897716
## 9 3.050903e+01 5.50 1.87 0.13 22 0.02771609 1.897716
## 10 4.993404e+02 5.50 1.87 0.13 22 0.02771609 1.897716
## 11 3.459556e+02 5.50 1.87 0.13 22 0.02771609 1.897716
## 12 6.832342e+02 5.50 1.87 0.13 22 0.02771609 1.897716
## 13 3.111812e-01 7.80 1.58 0.11 20 0.02459675 1.604597
## 14 5.548192e-02 7.80 1.58 0.11 20 0.02459675 1.604597
## 15 8.577988e-01 7.80 1.58 0.11 20 0.02459675 1.604597
## 16 2.031121e-01 7.80 1.58 0.11 20 0.02459675 1.604597
## 17 1.447355e-02 7.80 1.58 0.11 20 0.02459675 1.604597
## 18 2.605238e-02 7.80 1.58 0.11 20 0.02459675 1.604597
## 19 8.973598e-02 7.80 1.58 0.11 20 0.02459675 1.604597
## 20 1.124112e-01 7.80 1.58 0.11 20 0.02459675 1.604597
## 21 1.071042e-01 7.80 1.58 0.11 20 0.02459675 1.604597
## 22 3.753473e-01 7.80 1.58 0.11 20 0.02459675 1.604597
## 23 1.785071e-02 7.80 1.58 0.11 20 0.02459675 1.604597
## 24 2.653483e-02 7.80 1.58 0.11 20 0.02459675 1.604597
## 25 5.224950e-01 7.80 1.58 0.11 20 0.02459675 1.604597
## 26 7.685453e-01 7.80 1.58 0.11 20 0.02459675 1.604597
## 27 8.761320e-01 7.80 1.58 0.11 20 0.02459675 1.604597
## 28 3.618386e-02 7.80 1.58 0.11 20 0.02459675 1.604597
## 29 3.295144e-01 7.80 1.58 0.11 20 0.02459675 1.604597
## 30 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 31 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 32 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 33 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 34 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 35 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 36 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 37 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 38 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 39 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 40 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 41 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 42 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 43 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 44 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 45 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 46 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 47 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 48 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 49 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 50 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 51 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 52 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 53 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 54 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 55 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 56 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 57 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 58 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 59 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 60 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 61 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 62 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 63 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 64 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 65 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 66 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 67 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 68 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 69 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 70 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 71 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 72 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 73 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 74 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 75 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 76 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 77 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 78 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 79 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 80 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 81 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 82 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 83 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 84 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 85 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 86 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 87 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 88 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 89 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 90 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 91 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 92 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 93 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 94 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 95 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 96 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 97 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 98 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 99 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 100 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 101 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 102 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 103 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 104 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 105 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 106 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 107 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 108 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 109 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 110 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 111 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 112 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 113 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 114 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 115 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 116 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 117 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 118 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 119 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 120 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 121 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 122 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 123 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 124 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 125 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 126 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 127 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 128 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 129 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 130 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 131 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 132 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 133 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 134 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 135 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 136 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 137 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 138 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 139 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 140 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 141 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 142 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 143 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 144 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 145 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 146 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 147 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 148 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 149 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 150 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 151 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 152 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 153 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 154 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 155 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 156 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 157 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 158 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 159 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 160 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 161 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 162 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 163 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 164 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 165 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 166 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 167 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 168 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 169 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 170 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 171 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 172 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 173 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 174 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 175 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 176 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 177 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 178 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 179 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 180 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 181 NA 6.06 1.75 0.17 15 0.04389381 1.793894
## 182 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 183 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 184 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 185 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 186 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 187 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 188 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 189 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 190 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 191 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 192 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 193 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 194 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 195 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 196 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 197 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 198 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 199 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 200 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 201 NA 30.00 2.10 0.12 17 0.02910428 2.129104
## 202 4.269176e-02 356.70 2.00 0.15 23 0.03127716 2.031277
## 203 1.134858e+01 356.70 2.00 0.15 23 0.03127716 2.031277
## 204 8.148559e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 205 3.504437e+00 356.70 2.00 0.15 23 0.03127716 2.031277
## 206 9.484996e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 207 1.540616e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 208 8.612599e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 209 1.436671e+00 356.70 2.00 0.15 23 0.03127716 2.031277
## 210 1.353143e+00 356.70 2.00 0.15 23 0.03127716 2.031277
## 211 4.204211e+00 356.70 2.00 0.15 23 0.03127716 2.031277
## 212 8.061319e+00 356.70 2.00 0.15 23 0.03127716 2.031277
## 213 3.489588e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 214 1.031860e+02 356.70 2.00 0.15 23 0.03127716 2.031277
## 215 1.633424e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 216 3.025547e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 217 2.338766e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 218 2.580067e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 219 0.000000e+00 356.70 2.00 0.15 23 0.03127716 2.031277
## 220 4.269176e-02 356.70 2.00 0.15 23 0.03127716 2.031277
## 221 4.046437e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 222 3.712327e-02 356.70 2.00 0.15 23 0.03127716 2.031277
## 223 1.466369e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 224 2.580067e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 225 1.447808e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 226 9.280818e-03 356.70 2.00 0.15 23 0.03127716 2.031277
## 227 1.781917e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 228 1.039452e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 229 1.822753e+00 356.70 2.00 0.15 23 0.03127716 2.031277
## 230 4.937395e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 231 6.626504e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 232 4.603286e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 233 2.839930e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 234 9.577805e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 235 7.350408e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 236 5.457121e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 237 5.067327e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 238 3.526711e-02 356.70 2.00 0.15 23 0.03127716 2.031277
## 239 7.053422e-02 356.70 2.00 0.15 23 0.03127716 2.031277
## 240 1.262191e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 241 1.002328e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 242 7.053422e-02 356.70 2.00 0.15 23 0.03127716 2.031277
## 243 1.262191e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 244 4.454793e-02 356.70 2.00 0.15 23 0.03127716 2.031277
## 245 2.078903e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 246 4.380546e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 247 3.359656e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 248 4.835306e+00 356.70 2.00 0.15 23 0.03127716 2.031277
## 249 2.375889e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 250 9.058079e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 251 5.381018e+00 356.70 2.00 0.15 23 0.03127716 2.031277
## 252 2.568931e+00 356.70 2.00 0.15 23 0.03127716 2.031277
## 253 7.907257e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 254 1.095137e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 255 1.707671e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 256 1.182376e+00 356.70 2.00 0.15 23 0.03127716 2.031277
## 257 2.615335e+00 356.70 2.00 0.15 23 0.03127716 2.031277
## 258 1.503493e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 259 2.431574e-01 356.70 2.00 0.15 23 0.03127716 2.031277
## 260 1.749825e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 261 1.380975e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 262 3.753341e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 263 3.169802e+01 29.30 2.00 0.15 23 0.03127716 2.031277
## 264 9.851360e+01 29.30 2.00 0.15 23 0.03127716 2.031277
## 265 2.516882e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 266 1.174062e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 267 7.992236e+01 29.30 2.00 0.15 23 0.03127716 2.031277
## 268 1.365162e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 269 1.288136e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 270 3.322036e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 271 9.448119e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 272 1.514848e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 273 8.283292e+01 29.30 2.00 0.15 23 0.03127716 2.031277
## 274 4.378681e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 275 3.293865e+01 29.30 2.00 0.15 23 0.03127716 2.031277
## 276 0.000000e+00 29.30 2.00 0.15 23 0.03127716 2.031277
## 277 9.147636e+01 29.30 2.00 0.15 23 0.03127716 2.031277
## 278 3.582993e+01 29.30 2.00 0.15 23 0.03127716 2.031277
## 279 6.375625e+01 29.30 2.00 0.15 23 0.03127716 2.031277
## 280 1.850516e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 281 1.564586e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 282 6.461286e+01 29.30 2.00 0.15 23 0.03127716 2.031277
## 283 3.847234e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 284 1.218080e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 285 6.853797e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 286 1.203407e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 287 4.763674e+01 29.30 2.00 0.15 23 0.03127716 2.031277
## 288 1.802829e+03 29.30 2.00 0.15 23 0.03127716 2.031277
## 289 1.137449e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 290 1.112034e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 291 8.107731e+01 29.30 2.00 0.15 23 0.03127716 2.031277
## 292 2.155856e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 293 1.768368e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 294 9.475833e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 295 3.180399e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 296 5.039416e+01 29.30 2.00 0.15 23 0.03127716 2.031277
## 297 3.102608e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 298 1.689602e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 299 8.057705e+01 29.30 2.00 0.15 23 0.03127716 2.031277
## 300 1.346532e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 301 2.190670e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 302 5.014847e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 303 1.683165e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 304 1.430690e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 305 2.568209e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 306 2.647495e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 307 1.395990e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## 308 2.235703e+02 29.30 2.00 0.15 23 0.03127716 2.031277
## alpha.lower.68 alpha.upper.95 alpha.lower.95 alpha.upper.99 alpha.lower.99
## 1 1.842284 1.924324 1.815676 1.953148 1.786852
## 2 1.842284 1.924324 1.815676 1.953148 1.786852
## 3 1.842284 1.924324 1.815676 1.953148 1.786852
## 4 1.842284 1.924324 1.815676 1.953148 1.786852
## 5 1.842284 1.924324 1.815676 1.953148 1.786852
## 6 1.842284 1.924324 1.815676 1.953148 1.786852
## 7 1.842284 1.924324 1.815676 1.953148 1.786852
## 8 1.842284 1.924324 1.815676 1.953148 1.786852
## 9 1.842284 1.924324 1.815676 1.953148 1.786852
## 10 1.842284 1.924324 1.815676 1.953148 1.786852
## 11 1.842284 1.924324 1.815676 1.953148 1.786852
## 12 1.842284 1.924324 1.815676 1.953148 1.786852
## 13 1.555403 1.628210 1.531790 1.653790 1.506210
## 14 1.555403 1.628210 1.531790 1.653790 1.506210
## 15 1.555403 1.628210 1.531790 1.653790 1.506210
## 16 1.555403 1.628210 1.531790 1.653790 1.506210
## 17 1.555403 1.628210 1.531790 1.653790 1.506210
## 18 1.555403 1.628210 1.531790 1.653790 1.506210
## 19 1.555403 1.628210 1.531790 1.653790 1.506210
## 20 1.555403 1.628210 1.531790 1.653790 1.506210
## 21 1.555403 1.628210 1.531790 1.653790 1.506210
## 22 1.555403 1.628210 1.531790 1.653790 1.506210
## 23 1.555403 1.628210 1.531790 1.653790 1.506210
## 24 1.555403 1.628210 1.531790 1.653790 1.506210
## 25 1.555403 1.628210 1.531790 1.653790 1.506210
## 26 1.555403 1.628210 1.531790 1.653790 1.506210
## 27 1.555403 1.628210 1.531790 1.653790 1.506210
## 28 1.555403 1.628210 1.531790 1.653790 1.506210
## 29 1.555403 1.628210 1.531790 1.653790 1.506210
## 30 1.706106 1.836032 1.663968 1.881681 1.618319
## 31 1.706106 1.836032 1.663968 1.881681 1.618319
## 32 1.706106 1.836032 1.663968 1.881681 1.618319
## 33 1.706106 1.836032 1.663968 1.881681 1.618319
## 34 1.706106 1.836032 1.663968 1.881681 1.618319
## 35 1.706106 1.836032 1.663968 1.881681 1.618319
## 36 1.706106 1.836032 1.663968 1.881681 1.618319
## 37 1.706106 1.836032 1.663968 1.881681 1.618319
## 38 1.706106 1.836032 1.663968 1.881681 1.618319
## 39 1.706106 1.836032 1.663968 1.881681 1.618319
## 40 1.706106 1.836032 1.663968 1.881681 1.618319
## 41 1.706106 1.836032 1.663968 1.881681 1.618319
## 42 1.706106 1.836032 1.663968 1.881681 1.618319
## 43 1.706106 1.836032 1.663968 1.881681 1.618319
## 44 1.706106 1.836032 1.663968 1.881681 1.618319
## 45 1.706106 1.836032 1.663968 1.881681 1.618319
## 46 1.706106 1.836032 1.663968 1.881681 1.618319
## 47 1.706106 1.836032 1.663968 1.881681 1.618319
## 48 1.706106 1.836032 1.663968 1.881681 1.618319
## 49 1.706106 1.836032 1.663968 1.881681 1.618319
## 50 1.706106 1.836032 1.663968 1.881681 1.618319
## 51 1.706106 1.836032 1.663968 1.881681 1.618319
## 52 1.706106 1.836032 1.663968 1.881681 1.618319
## 53 1.706106 1.836032 1.663968 1.881681 1.618319
## 54 1.706106 1.836032 1.663968 1.881681 1.618319
## 55 1.706106 1.836032 1.663968 1.881681 1.618319
## 56 1.706106 1.836032 1.663968 1.881681 1.618319
## 57 1.706106 1.836032 1.663968 1.881681 1.618319
## 58 1.706106 1.836032 1.663968 1.881681 1.618319
## 59 1.706106 1.836032 1.663968 1.881681 1.618319
## 60 1.706106 1.836032 1.663968 1.881681 1.618319
## 61 1.706106 1.836032 1.663968 1.881681 1.618319
## 62 1.706106 1.836032 1.663968 1.881681 1.618319
## 63 1.706106 1.836032 1.663968 1.881681 1.618319
## 64 1.706106 1.836032 1.663968 1.881681 1.618319
## 65 1.706106 1.836032 1.663968 1.881681 1.618319
## 66 1.706106 1.836032 1.663968 1.881681 1.618319
## 67 1.706106 1.836032 1.663968 1.881681 1.618319
## 68 1.706106 1.836032 1.663968 1.881681 1.618319
## 69 1.706106 1.836032 1.663968 1.881681 1.618319
## 70 1.706106 1.836032 1.663968 1.881681 1.618319
## 71 1.706106 1.836032 1.663968 1.881681 1.618319
## 72 1.706106 1.836032 1.663968 1.881681 1.618319
## 73 1.706106 1.836032 1.663968 1.881681 1.618319
## 74 1.706106 1.836032 1.663968 1.881681 1.618319
## 75 1.706106 1.836032 1.663968 1.881681 1.618319
## 76 1.706106 1.836032 1.663968 1.881681 1.618319
## 77 1.706106 1.836032 1.663968 1.881681 1.618319
## 78 1.706106 1.836032 1.663968 1.881681 1.618319
## 79 1.706106 1.836032 1.663968 1.881681 1.618319
## 80 1.706106 1.836032 1.663968 1.881681 1.618319
## 81 1.706106 1.836032 1.663968 1.881681 1.618319
## 82 1.706106 1.836032 1.663968 1.881681 1.618319
## 83 1.706106 1.836032 1.663968 1.881681 1.618319
## 84 1.706106 1.836032 1.663968 1.881681 1.618319
## 85 1.706106 1.836032 1.663968 1.881681 1.618319
## 86 1.706106 1.836032 1.663968 1.881681 1.618319
## 87 1.706106 1.836032 1.663968 1.881681 1.618319
## 88 1.706106 1.836032 1.663968 1.881681 1.618319
## 89 1.706106 1.836032 1.663968 1.881681 1.618319
## 90 1.706106 1.836032 1.663968 1.881681 1.618319
## 91 1.706106 1.836032 1.663968 1.881681 1.618319
## 92 1.706106 1.836032 1.663968 1.881681 1.618319
## 93 1.706106 1.836032 1.663968 1.881681 1.618319
## 94 1.706106 1.836032 1.663968 1.881681 1.618319
## 95 1.706106 1.836032 1.663968 1.881681 1.618319
## 96 1.706106 1.836032 1.663968 1.881681 1.618319
## 97 1.706106 1.836032 1.663968 1.881681 1.618319
## 98 1.706106 1.836032 1.663968 1.881681 1.618319
## 99 1.706106 1.836032 1.663968 1.881681 1.618319
## 100 1.706106 1.836032 1.663968 1.881681 1.618319
## 101 1.706106 1.836032 1.663968 1.881681 1.618319
## 102 1.706106 1.836032 1.663968 1.881681 1.618319
## 103 1.706106 1.836032 1.663968 1.881681 1.618319
## 104 1.706106 1.836032 1.663968 1.881681 1.618319
## 105 1.706106 1.836032 1.663968 1.881681 1.618319
## 106 1.706106 1.836032 1.663968 1.881681 1.618319
## 107 1.706106 1.836032 1.663968 1.881681 1.618319
## 108 1.706106 1.836032 1.663968 1.881681 1.618319
## 109 1.706106 1.836032 1.663968 1.881681 1.618319
## 110 1.706106 1.836032 1.663968 1.881681 1.618319
## 111 1.706106 1.836032 1.663968 1.881681 1.618319
## 112 1.706106 1.836032 1.663968 1.881681 1.618319
## 113 1.706106 1.836032 1.663968 1.881681 1.618319
## 114 1.706106 1.836032 1.663968 1.881681 1.618319
## 115 1.706106 1.836032 1.663968 1.881681 1.618319
## 116 1.706106 1.836032 1.663968 1.881681 1.618319
## 117 1.706106 1.836032 1.663968 1.881681 1.618319
## 118 1.706106 1.836032 1.663968 1.881681 1.618319
## 119 1.706106 1.836032 1.663968 1.881681 1.618319
## 120 1.706106 1.836032 1.663968 1.881681 1.618319
## 121 1.706106 1.836032 1.663968 1.881681 1.618319
## 122 1.706106 1.836032 1.663968 1.881681 1.618319
## 123 1.706106 1.836032 1.663968 1.881681 1.618319
## 124 1.706106 1.836032 1.663968 1.881681 1.618319
## 125 1.706106 1.836032 1.663968 1.881681 1.618319
## 126 1.706106 1.836032 1.663968 1.881681 1.618319
## 127 1.706106 1.836032 1.663968 1.881681 1.618319
## 128 1.706106 1.836032 1.663968 1.881681 1.618319
## 129 1.706106 1.836032 1.663968 1.881681 1.618319
## 130 1.706106 1.836032 1.663968 1.881681 1.618319
## 131 1.706106 1.836032 1.663968 1.881681 1.618319
## 132 1.706106 1.836032 1.663968 1.881681 1.618319
## 133 1.706106 1.836032 1.663968 1.881681 1.618319
## 134 1.706106 1.836032 1.663968 1.881681 1.618319
## 135 1.706106 1.836032 1.663968 1.881681 1.618319
## 136 1.706106 1.836032 1.663968 1.881681 1.618319
## 137 1.706106 1.836032 1.663968 1.881681 1.618319
## 138 1.706106 1.836032 1.663968 1.881681 1.618319
## 139 1.706106 1.836032 1.663968 1.881681 1.618319
## 140 1.706106 1.836032 1.663968 1.881681 1.618319
## 141 1.706106 1.836032 1.663968 1.881681 1.618319
## 142 1.706106 1.836032 1.663968 1.881681 1.618319
## 143 1.706106 1.836032 1.663968 1.881681 1.618319
## 144 1.706106 1.836032 1.663968 1.881681 1.618319
## 145 1.706106 1.836032 1.663968 1.881681 1.618319
## 146 1.706106 1.836032 1.663968 1.881681 1.618319
## 147 1.706106 1.836032 1.663968 1.881681 1.618319
## 148 1.706106 1.836032 1.663968 1.881681 1.618319
## 149 1.706106 1.836032 1.663968 1.881681 1.618319
## 150 1.706106 1.836032 1.663968 1.881681 1.618319
## 151 1.706106 1.836032 1.663968 1.881681 1.618319
## 152 1.706106 1.836032 1.663968 1.881681 1.618319
## 153 1.706106 1.836032 1.663968 1.881681 1.618319
## 154 1.706106 1.836032 1.663968 1.881681 1.618319
## 155 1.706106 1.836032 1.663968 1.881681 1.618319
## 156 1.706106 1.836032 1.663968 1.881681 1.618319
## 157 1.706106 1.836032 1.663968 1.881681 1.618319
## 158 1.706106 1.836032 1.663968 1.881681 1.618319
## 159 1.706106 1.836032 1.663968 1.881681 1.618319
## 160 1.706106 1.836032 1.663968 1.881681 1.618319
## 161 1.706106 1.836032 1.663968 1.881681 1.618319
## 162 1.706106 1.836032 1.663968 1.881681 1.618319
## 163 1.706106 1.836032 1.663968 1.881681 1.618319
## 164 1.706106 1.836032 1.663968 1.881681 1.618319
## 165 1.706106 1.836032 1.663968 1.881681 1.618319
## 166 1.706106 1.836032 1.663968 1.881681 1.618319
## 167 1.706106 1.836032 1.663968 1.881681 1.618319
## 168 1.706106 1.836032 1.663968 1.881681 1.618319
## 169 1.706106 1.836032 1.663968 1.881681 1.618319
## 170 1.706106 1.836032 1.663968 1.881681 1.618319
## 171 1.706106 1.836032 1.663968 1.881681 1.618319
## 172 1.706106 1.836032 1.663968 1.881681 1.618319
## 173 1.706106 1.836032 1.663968 1.881681 1.618319
## 174 1.706106 1.836032 1.663968 1.881681 1.618319
## 175 1.706106 1.836032 1.663968 1.881681 1.618319
## 176 1.706106 1.836032 1.663968 1.881681 1.618319
## 177 1.706106 1.836032 1.663968 1.881681 1.618319
## 178 1.706106 1.836032 1.663968 1.881681 1.618319
## 179 1.706106 1.836032 1.663968 1.881681 1.618319
## 180 1.706106 1.836032 1.663968 1.881681 1.618319
## 181 1.706106 1.836032 1.663968 1.881681 1.618319
## 182 2.070896 2.157044 2.042956 2.187313 2.012687
## 183 2.070896 2.157044 2.042956 2.187313 2.012687
## 184 2.070896 2.157044 2.042956 2.187313 2.012687
## 185 2.070896 2.157044 2.042956 2.187313 2.012687
## 186 2.070896 2.157044 2.042956 2.187313 2.012687
## 187 2.070896 2.157044 2.042956 2.187313 2.012687
## 188 2.070896 2.157044 2.042956 2.187313 2.012687
## 189 2.070896 2.157044 2.042956 2.187313 2.012687
## 190 2.070896 2.157044 2.042956 2.187313 2.012687
## 191 2.070896 2.157044 2.042956 2.187313 2.012687
## 192 2.070896 2.157044 2.042956 2.187313 2.012687
## 193 2.070896 2.157044 2.042956 2.187313 2.012687
## 194 2.070896 2.157044 2.042956 2.187313 2.012687
## 195 2.070896 2.157044 2.042956 2.187313 2.012687
## 196 2.070896 2.157044 2.042956 2.187313 2.012687
## 197 2.070896 2.157044 2.042956 2.187313 2.012687
## 198 2.070896 2.157044 2.042956 2.187313 2.012687
## 199 2.070896 2.157044 2.042956 2.187313 2.012687
## 200 2.070896 2.157044 2.042956 2.187313 2.012687
## 201 2.070896 2.157044 2.042956 2.187313 2.012687
## 202 1.968723 2.061303 1.938697 2.093831 1.906169
## 203 1.968723 2.061303 1.938697 2.093831 1.906169
## 204 1.968723 2.061303 1.938697 2.093831 1.906169
## 205 1.968723 2.061303 1.938697 2.093831 1.906169
## 206 1.968723 2.061303 1.938697 2.093831 1.906169
## 207 1.968723 2.061303 1.938697 2.093831 1.906169
## 208 1.968723 2.061303 1.938697 2.093831 1.906169
## 209 1.968723 2.061303 1.938697 2.093831 1.906169
## 210 1.968723 2.061303 1.938697 2.093831 1.906169
## 211 1.968723 2.061303 1.938697 2.093831 1.906169
## 212 1.968723 2.061303 1.938697 2.093831 1.906169
## 213 1.968723 2.061303 1.938697 2.093831 1.906169
## 214 1.968723 2.061303 1.938697 2.093831 1.906169
## 215 1.968723 2.061303 1.938697 2.093831 1.906169
## 216 1.968723 2.061303 1.938697 2.093831 1.906169
## 217 1.968723 2.061303 1.938697 2.093831 1.906169
## 218 1.968723 2.061303 1.938697 2.093831 1.906169
## 219 1.968723 2.061303 1.938697 2.093831 1.906169
## 220 1.968723 2.061303 1.938697 2.093831 1.906169
## 221 1.968723 2.061303 1.938697 2.093831 1.906169
## 222 1.968723 2.061303 1.938697 2.093831 1.906169
## 223 1.968723 2.061303 1.938697 2.093831 1.906169
## 224 1.968723 2.061303 1.938697 2.093831 1.906169
## 225 1.968723 2.061303 1.938697 2.093831 1.906169
## 226 1.968723 2.061303 1.938697 2.093831 1.906169
## 227 1.968723 2.061303 1.938697 2.093831 1.906169
## 228 1.968723 2.061303 1.938697 2.093831 1.906169
## 229 1.968723 2.061303 1.938697 2.093831 1.906169
## 230 1.968723 2.061303 1.938697 2.093831 1.906169
## 231 1.968723 2.061303 1.938697 2.093831 1.906169
## 232 1.968723 2.061303 1.938697 2.093831 1.906169
## 233 1.968723 2.061303 1.938697 2.093831 1.906169
## 234 1.968723 2.061303 1.938697 2.093831 1.906169
## 235 1.968723 2.061303 1.938697 2.093831 1.906169
## 236 1.968723 2.061303 1.938697 2.093831 1.906169
## 237 1.968723 2.061303 1.938697 2.093831 1.906169
## 238 1.968723 2.061303 1.938697 2.093831 1.906169
## 239 1.968723 2.061303 1.938697 2.093831 1.906169
## 240 1.968723 2.061303 1.938697 2.093831 1.906169
## 241 1.968723 2.061303 1.938697 2.093831 1.906169
## 242 1.968723 2.061303 1.938697 2.093831 1.906169
## 243 1.968723 2.061303 1.938697 2.093831 1.906169
## 244 1.968723 2.061303 1.938697 2.093831 1.906169
## 245 1.968723 2.061303 1.938697 2.093831 1.906169
## 246 1.968723 2.061303 1.938697 2.093831 1.906169
## 247 1.968723 2.061303 1.938697 2.093831 1.906169
## 248 1.968723 2.061303 1.938697 2.093831 1.906169
## 249 1.968723 2.061303 1.938697 2.093831 1.906169
## 250 1.968723 2.061303 1.938697 2.093831 1.906169
## 251 1.968723 2.061303 1.938697 2.093831 1.906169
## 252 1.968723 2.061303 1.938697 2.093831 1.906169
## 253 1.968723 2.061303 1.938697 2.093831 1.906169
## 254 1.968723 2.061303 1.938697 2.093831 1.906169
## 255 1.968723 2.061303 1.938697 2.093831 1.906169
## 256 1.968723 2.061303 1.938697 2.093831 1.906169
## 257 1.968723 2.061303 1.938697 2.093831 1.906169
## 258 1.968723 2.061303 1.938697 2.093831 1.906169
## 259 1.968723 2.061303 1.938697 2.093831 1.906169
## 260 1.968723 2.061303 1.938697 2.093831 1.906169
## 261 1.968723 2.061303 1.938697 2.093831 1.906169
## 262 1.968723 2.061303 1.938697 2.093831 1.906169
## 263 1.968723 2.061303 1.938697 2.093831 1.906169
## 264 1.968723 2.061303 1.938697 2.093831 1.906169
## 265 1.968723 2.061303 1.938697 2.093831 1.906169
## 266 1.968723 2.061303 1.938697 2.093831 1.906169
## 267 1.968723 2.061303 1.938697 2.093831 1.906169
## 268 1.968723 2.061303 1.938697 2.093831 1.906169
## 269 1.968723 2.061303 1.938697 2.093831 1.906169
## 270 1.968723 2.061303 1.938697 2.093831 1.906169
## 271 1.968723 2.061303 1.938697 2.093831 1.906169
## 272 1.968723 2.061303 1.938697 2.093831 1.906169
## 273 1.968723 2.061303 1.938697 2.093831 1.906169
## 274 1.968723 2.061303 1.938697 2.093831 1.906169
## 275 1.968723 2.061303 1.938697 2.093831 1.906169
## 276 1.968723 2.061303 1.938697 2.093831 1.906169
## 277 1.968723 2.061303 1.938697 2.093831 1.906169
## 278 1.968723 2.061303 1.938697 2.093831 1.906169
## 279 1.968723 2.061303 1.938697 2.093831 1.906169
## 280 1.968723 2.061303 1.938697 2.093831 1.906169
## 281 1.968723 2.061303 1.938697 2.093831 1.906169
## 282 1.968723 2.061303 1.938697 2.093831 1.906169
## 283 1.968723 2.061303 1.938697 2.093831 1.906169
## 284 1.968723 2.061303 1.938697 2.093831 1.906169
## 285 1.968723 2.061303 1.938697 2.093831 1.906169
## 286 1.968723 2.061303 1.938697 2.093831 1.906169
## 287 1.968723 2.061303 1.938697 2.093831 1.906169
## 288 1.968723 2.061303 1.938697 2.093831 1.906169
## 289 1.968723 2.061303 1.938697 2.093831 1.906169
## 290 1.968723 2.061303 1.938697 2.093831 1.906169
## 291 1.968723 2.061303 1.938697 2.093831 1.906169
## 292 1.968723 2.061303 1.938697 2.093831 1.906169
## 293 1.968723 2.061303 1.938697 2.093831 1.906169
## 294 1.968723 2.061303 1.938697 2.093831 1.906169
## 295 1.968723 2.061303 1.938697 2.093831 1.906169
## 296 1.968723 2.061303 1.938697 2.093831 1.906169
## 297 1.968723 2.061303 1.938697 2.093831 1.906169
## 298 1.968723 2.061303 1.938697 2.093831 1.906169
## 299 1.968723 2.061303 1.938697 2.093831 1.906169
## 300 1.968723 2.061303 1.938697 2.093831 1.906169
## 301 1.968723 2.061303 1.938697 2.093831 1.906169
## 302 1.968723 2.061303 1.938697 2.093831 1.906169
## 303 1.968723 2.061303 1.938697 2.093831 1.906169
## 304 1.968723 2.061303 1.938697 2.093831 1.906169
## 305 1.968723 2.061303 1.938697 2.093831 1.906169
## 306 1.968723 2.061303 1.938697 2.093831 1.906169
## 307 1.968723 2.061303 1.938697 2.093831 1.906169
## 308 1.968723 2.061303 1.938697 2.093831 1.906169
## alpha.rsd CF.upper.95 CF.lower.95 conc.upper.95 conc.lower.95 CF.rsd
## 1 0.01482144 62.16982 57.573208 2.178489e+02 2.017420e+02 0.09186339
## 2 0.01482144 62.16982 57.573208 2.205219e+02 2.042174e+02 0.09186339
## 3 0.01482144 62.16982 57.573208 9.622775e+02 8.911303e+02 0.09186339
## 4 0.01482144 62.16982 57.573208 7.524476e+02 6.968144e+02 0.09186339
## 5 0.01482144 62.16982 57.573208 6.602293e+02 6.114144e+02 0.09186339
## 6 0.01482144 62.16982 57.573208 1.126667e+03 1.043365e+03 0.09186339
## 7 0.01482144 62.16982 57.573208 1.344516e+03 1.245107e+03 0.09186339
## 8 0.01482144 62.16982 57.573208 3.087307e+02 2.859043e+02 0.09186339
## 9 0.01482144 62.16982 57.573208 1.456781e+02 1.349072e+02 0.09186339
## 10 0.01482144 62.16982 57.573208 2.384310e+03 2.208023e+03 0.09186339
## 11 0.01482144 62.16982 57.573208 1.651910e+03 1.529774e+03 0.09186339
## 12 0.01482144 62.16982 57.573208 3.262388e+03 3.021179e+03 0.09186339
## 13 0.01556756 20.44620 13.609200 1.718212e+00 1.143659e+00 0.45807712
## 14 0.01556756 20.44620 13.609200 3.063478e-01 2.039082e-01 0.45807712
## 15 0.01556756 20.44620 13.609200 4.736404e+00 3.152599e+00 0.45807712
## 16 0.01556756 20.44620 13.609200 1.121499e+00 7.464814e-01 0.45807712
## 17 0.01556756 20.44620 13.609200 7.991682e-02 5.319345e-02 0.45807712
## 18 0.01556756 20.44620 13.609200 1.438503e-01 9.574821e-02 0.45807712
## 19 0.01556756 20.44620 13.609200 4.954843e-01 3.297994e-01 0.45807712
## 20 0.01556756 20.44620 13.609200 6.206873e-01 4.131358e-01 0.45807712
## 21 0.01556756 20.44620 13.609200 5.913845e-01 3.936315e-01 0.45807712
## 22 0.01556756 20.44620 13.609200 2.072510e+00 1.379484e+00 0.45807712
## 23 0.01556756 20.44620 13.609200 9.856408e-02 6.560526e-02 0.45807712
## 24 0.01556756 20.44620 13.609200 1.465142e-01 9.752133e-02 0.45807712
## 25 0.01556756 20.44620 13.609200 2.884997e+00 1.920284e+00 0.45807712
## 26 0.01556756 20.44620 13.609200 4.243583e+00 2.824572e+00 0.45807712
## 27 0.01556756 20.44620 13.609200 4.837632e+00 3.219977e+00 0.45807712
## 28 0.01556756 20.44620 13.609200 1.997921e-01 1.329836e-01 0.45807712
## 29 0.01556756 20.44620 13.609200 1.819440e+00 1.211038e+00 0.45807712
## 30 0.02508218 14.44221 8.308646 5.257687e+01 3.024763e+01 0.53272715
## 31 0.02508218 14.44221 8.308646 1.429779e+01 8.225560e+00 0.53272715
## 32 0.02508218 14.44221 8.308646 1.884709e+00 1.084278e+00 0.53272715
## 33 0.02508218 14.44221 8.308646 2.166332e+00 1.246297e+00 0.53272715
## 34 0.02508218 14.44221 8.308646 2.014689e+00 1.159056e+00 0.53272715
## 35 0.02508218 14.44221 8.308646 7.647151e+00 4.399428e+00 0.53272715
## 36 0.02508218 14.44221 8.308646 5.199196e+00 2.991113e+00 0.53272715
## 37 0.02508218 14.44221 8.308646 9.763658e+01 5.617060e+01 0.53272715
## 38 0.02508218 14.44221 8.308646 1.733065e+01 9.970375e+00 0.53272715
## 39 0.02508218 14.44221 8.308646 2.528109e+01 1.454429e+01 0.53272715
## 40 0.02508218 14.44221 8.308646 1.241308e+01 7.141281e+00 0.53272715
## 41 0.02508218 14.44221 8.308646 1.271637e+01 7.315763e+00 0.53272715
## 42 0.02508218 14.44221 8.308646 3.134682e+01 1.803392e+01 0.53272715
## 43 0.02508218 14.44221 8.308646 3.899397e+00 2.243334e+00 0.53272715
## 44 0.02508218 14.44221 8.308646 0.000000e+00 0.000000e+00 0.53272715
## 45 0.02508218 14.44221 8.308646 0.000000e+00 0.000000e+00 0.53272715
## 46 0.02508218 14.44221 8.308646 3.248054e+00 1.868615e+00 0.53272715
## 47 0.02508218 14.44221 8.308646 2.440734e-01 1.404161e-01 0.53272715
## 48 0.02508218 14.44221 8.308646 3.379478e+00 1.944223e+00 0.53272715
## 49 0.02508218 14.44221 8.308646 1.877488e+00 1.080124e+00 0.53272715
## 50 0.02508218 14.44221 8.308646 1.026986e+01 5.908278e+00 0.53272715
## 51 0.02508218 14.44221 8.308646 7.265877e+00 4.180080e+00 0.53272715
## 52 0.02508218 14.44221 8.308646 1.389341e+01 7.992918e+00 0.53272715
## 53 0.02508218 14.44221 8.308646 1.126493e+01 6.480744e+00 0.53272715
## 54 0.02508218 14.44221 8.308646 1.026986e+01 5.908278e+00 0.53272715
## 55 0.02508218 14.44221 8.308646 6.758955e+00 3.888446e+00 0.53272715
## 56 0.02508218 14.44221 8.308646 0.000000e+00 0.000000e+00 0.53272715
## 57 0.02508218 14.44221 8.308646 3.754975e+00 2.160248e+00 0.53272715
## 58 0.02508218 14.44221 8.308646 5.012892e+00 2.883931e+00 0.53272715
## 59 0.02508218 14.44221 8.308646 3.003980e+00 1.728198e+00 0.53272715
## 60 0.02508218 14.44221 8.308646 2.121561e+00 1.220540e+00 0.53272715
## 61 0.02508218 14.44221 8.308646 3.003980e+00 1.728198e+00 0.53272715
## 62 0.02508218 14.44221 8.308646 3.003980e+00 1.728198e+00 0.53272715
## 63 0.02508218 14.44221 8.308646 1.633414e+00 9.397079e-01 0.53272715
## 64 0.02508218 14.44221 8.308646 1.188450e+01 6.837185e+00 0.53272715
## 65 0.02508218 14.44221 8.308646 2.440734e-01 1.404161e-01 0.53272715
## 66 0.02508218 14.44221 8.308646 2.891331e+01 1.663391e+01 0.53272715
## 67 0.02508218 14.44221 8.308646 2.115929e+01 1.217300e+01 0.53272715
## 68 0.02508218 14.44221 8.308646 2.140336e+01 1.231341e+01 0.53272715
## 69 0.02508218 14.44221 8.308646 6.139384e+00 3.532005e+00 0.53272715
## 70 0.02508218 14.44221 8.308646 2.127193e+01 1.223780e+01 0.53272715
## 71 0.02508218 14.44221 8.308646 3.510902e+00 2.019832e+00 0.53272715
## 72 0.02508218 14.44221 8.308646 4.505970e+00 2.592298e+00 0.53272715
## 73 0.02508218 14.44221 8.308646 1.877488e+00 1.080124e+00 0.53272715
## 74 0.02508218 14.44221 8.308646 3.375578e+01 1.941980e+01 0.53272715
## 75 0.02508218 14.44221 8.308646 2.750808e+01 1.582548e+01 0.53272715
## 76 0.02508218 14.44221 8.308646 1.191916e+01 6.857126e+00 0.53272715
## 77 0.02508218 14.44221 8.308646 2.690151e+01 1.547652e+01 0.53272715
## 78 0.02508218 14.44221 8.308646 2.850893e+01 1.640127e+01 0.53272715
## 79 0.02508218 14.44221 8.308646 1.031174e+01 5.932373e+00 0.53272715
## 80 0.02508218 14.44221 8.308646 2.729578e+01 1.570334e+01 0.53272715
## 81 0.02508218 14.44221 8.308646 4.973898e+01 2.861498e+01 0.53272715
## 82 0.02508218 14.44221 8.308646 2.001691e+01 1.151578e+01 0.53272715
## 83 0.02508218 14.44221 8.308646 5.459156e+00 3.140668e+00 0.53272715
## 84 0.02508218 14.44221 8.308646 5.316612e+01 3.058662e+01 0.53272715
## 85 0.02508218 14.44221 8.308646 5.237757e+01 3.013297e+01 0.53272715
## 86 0.02508218 14.44221 8.308646 3.357381e+01 1.931511e+01 0.53272715
## 87 0.02508218 14.44221 8.308646 7.278875e+01 4.187558e+01 0.53272715
## 88 0.02508218 14.44221 8.308646 6.165814e+01 3.547210e+01 0.53272715
## 89 0.02508218 14.44221 8.308646 4.406752e+01 2.535217e+01 0.53272715
## 90 0.02508218 14.44221 8.308646 5.377269e+01 3.093558e+01 0.53272715
## 91 0.02508218 14.44221 8.308646 2.890320e+01 1.662809e+01 0.53272715
## 92 0.02508218 14.44221 8.308646 4.085269e+01 2.350267e+01 0.53272715
## 93 0.02508218 14.44221 8.308646 4.427982e+01 2.547431e+01 0.53272715
## 94 0.02508218 14.44221 8.308646 1.065445e+02 6.129537e+01 0.53272715
## 95 0.02508218 14.44221 8.308646 6.187044e+01 3.559424e+01 0.53272715
## 96 0.02508218 14.44221 8.308646 8.531448e+01 4.908167e+01 0.53272715
## 97 0.02508218 14.44221 8.308646 3.982151e+01 2.290943e+01 0.53272715
## 98 0.02508218 14.44221 8.308646 3.982151e+01 2.290943e+01 0.53272715
## 99 0.02508218 14.44221 8.308646 1.737831e+01 9.997794e+00 0.53272715
## 100 0.02508218 14.44221 8.308646 4.367325e+01 2.512535e+01 0.53272715
## 101 0.02508218 14.44221 8.308646 4.570527e+01 2.629437e+01 0.53272715
## 102 0.02508218 14.44221 8.308646 6.651072e+01 3.826381e+01 0.53272715
## 103 0.02508218 14.44221 8.308646 2.244320e+01 1.291164e+01 0.53272715
## 104 0.02508218 14.44221 8.308646 6.550988e+01 3.768802e+01 0.53272715
## 105 0.02508218 14.44221 8.308646 1.073634e+02 6.176648e+01 0.53272715
## 106 0.02508218 14.44221 8.308646 6.833044e+01 3.931070e+01 0.53272715
## 107 0.02508218 14.44221 8.308646 2.022921e+01 1.163792e+01 0.53272715
## 108 0.02508218 14.44221 8.308646 3.739522e+01 2.151358e+01 0.53272715
## 109 0.02508218 14.44221 8.308646 5.723015e+01 3.292467e+01 0.53272715
## 110 0.02508218 14.44221 8.308646 2.547606e+01 1.465645e+01 0.53272715
## 111 0.02508218 14.44221 8.308646 1.031174e+01 5.932373e+00 0.53272715
## 112 0.02508218 14.44221 8.308646 2.307143e+01 1.327306e+01 0.53272715
## 113 0.02508218 14.44221 8.308646 1.871350e+00 1.076593e+00 0.53272715
## 114 0.02508218 14.44221 8.308646 6.331827e+00 3.642718e+00 0.53272715
## 115 0.02508218 14.44221 8.308646 1.863659e+01 1.072168e+01 0.53272715
## 116 0.02508218 14.44221 8.308646 6.152382e+00 3.539483e+00 0.53272715
## 117 0.02508218 14.44221 8.308646 4.281033e+00 2.462890e+00 0.53272715
## 118 0.02508218 14.44221 8.308646 6.998335e+00 4.026162e+00 0.53272715
## 119 0.02508218 14.44221 8.308646 1.384286e+01 7.963837e+00 0.53272715
## 120 0.02508218 14.44221 8.308646 1.871350e+00 1.076593e+00 0.53272715
## 121 0.02508218 14.44221 8.308646 4.281033e+00 2.462890e+00 0.53272715
## 122 0.02508218 14.44221 8.308646 1.143823e+01 6.580448e+00 0.53272715
## 123 0.02508218 14.44221 8.308646 5.496706e+00 3.162271e+00 0.53272715
## 124 0.02508218 14.44221 8.308646 3.177287e+00 1.827902e+00 0.53272715
## 125 0.02508218 14.44221 8.308646 5.306069e+00 3.052597e+00 0.53272715
## 126 0.02508218 14.44221 8.308646 4.089168e+01 2.352510e+01 0.53272715
## 127 0.02508218 14.44221 8.308646 1.439311e+01 8.280397e+00 0.53272715
## 128 0.02508218 14.44221 8.308646 1.080277e+01 6.214867e+00 0.53272715
## 129 0.02508218 14.44221 8.308646 1.185128e+01 6.818075e+00 0.53272715
## 130 0.02508218 14.44221 8.308646 5.941526e+00 3.418177e+00 0.53272715
## 131 0.02508218 14.44221 8.308646 1.502857e+01 8.645977e+00 0.53272715
## 132 0.02508218 14.44221 8.308646 3.218591e+01 1.851665e+01 0.53272715
## 133 0.02508218 14.44221 8.308646 8.619979e+01 4.959099e+01 0.53272715
## 134 0.02508218 14.44221 8.308646 9.913135e+01 5.703055e+01 0.53272715
## 135 0.02508218 14.44221 8.308646 1.116181e+02 6.421420e+01 0.53272715
## 136 0.02508218 14.44221 8.308646 8.578674e+01 4.935336e+01 0.53272715
## 137 0.02508218 14.44221 8.308646 7.625488e+01 4.386965e+01 0.53272715
## 138 0.02508218 14.44221 8.308646 1.783411e+02 1.026001e+02 0.53272715
## 139 0.02508218 14.44221 8.308646 5.169445e+01 2.973997e+01 0.53272715
## 140 0.02508218 14.44221 8.308646 6.713607e+01 3.862357e+01 0.53272715
## 141 0.02508218 14.44221 8.308646 8.937708e+01 5.141889e+01 0.53272715
## 142 0.02508218 14.44221 8.308646 6.754189e+01 3.885705e+01 0.53272715
## 143 0.02508218 14.44221 8.308646 2.811465e+01 1.617444e+01 0.53272715
## 144 0.02508218 14.44221 8.308646 7.300105e+01 4.199771e+01 0.53272715
## 145 0.02508218 14.44221 8.308646 2.244320e+01 1.291164e+01 0.53272715
## 146 0.02508218 14.44221 8.308646 3.721325e+01 2.140889e+01 0.53272715
## 147 0.02508218 14.44221 8.308646 2.162432e+01 1.244054e+01 0.53272715
## 148 0.02508218 14.44221 8.308646 2.283747e+01 1.313846e+01 0.53272715
## 149 0.02508218 14.44221 8.308646 2.386864e+01 1.373170e+01 0.53272715
## 150 0.02508218 14.44221 8.308646 6.460002e+00 3.716457e+00 0.53272715
## 151 0.02508218 14.44221 8.308646 5.853429e+00 3.367494e+00 0.53272715
## 152 0.02508218 14.44221 8.308646 2.386864e+01 1.373170e+01 0.53272715
## 153 0.02508218 14.44221 8.308646 4.640283e+00 2.669568e+00 0.53272715
## 154 0.02508218 14.44221 8.308646 8.492021e+00 4.885484e+00 0.53272715
## 155 0.02508218 14.44221 8.308646 2.547606e+01 1.465645e+01 0.53272715
## 156 0.02508218 14.44221 8.308646 3.760752e+01 2.163571e+01 0.53272715
## 157 0.02508218 14.44221 8.308646 1.173719e+01 6.752437e+00 0.53272715
## 158 0.02508218 14.44221 8.308646 2.690151e+01 1.547652e+01 0.53272715
## 159 0.02508218 14.44221 8.308646 1.962263e+01 1.128896e+01 0.53272715
## 160 0.02508218 14.44221 8.308646 1.373888e+01 7.904015e+00 0.53272715
## 161 0.02508218 14.44221 8.308646 8.704321e+00 5.007621e+00 0.53272715
## 162 0.02508218 14.44221 8.308646 8.441581e+01 4.856466e+01 0.53272715
## 163 0.02508218 14.44221 8.308646 3.999049e+01 2.300664e+01 0.53272715
## 164 0.02508218 14.44221 8.308646 1.131269e+02 6.508225e+01 0.53272715
## 165 0.02508218 14.44221 8.308646 4.478422e+01 2.576449e+01 0.53272715
## 166 0.02508218 14.44221 8.308646 1.025397e+01 5.899139e+00 0.53272715
## 167 0.02508218 14.44221 8.308646 1.673961e+01 9.630344e+00 0.53272715
## 168 0.02508218 14.44221 8.308646 2.255874e+01 1.297811e+01 0.53272715
## 169 0.02508218 14.44221 8.308646 2.632707e+01 1.514604e+01 0.53272715
## 170 0.02508218 14.44221 8.308646 1.999524e+01 1.150332e+01 0.53272715
## 171 0.02508218 14.44221 8.308646 2.050794e+00 1.179828e+00 0.53272715
## 172 0.02508218 14.44221 8.308646 3.843217e+01 2.211014e+01 0.53272715
## 173 0.02508218 14.44221 8.308646 2.502691e+01 1.439805e+01 0.53272715
## 174 0.02508218 14.44221 8.308646 8.016872e+00 4.612129e+00 0.53272715
## 175 0.02508218 14.44221 8.308646 4.881468e+00 2.808322e+00 0.53272715
## 176 0.02508218 14.44221 8.308646 1.201592e+01 6.912794e+00 0.53272715
## 177 0.02508218 14.44221 8.308646 1.214734e+01 6.988402e+00 0.53272715
## 178 0.02508218 14.44221 8.308646 1.877488e+00 1.080124e+00 0.53272715
## 179 0.02508218 14.44221 8.308646 7.003029e+00 4.028862e+00 0.53272715
## 180 0.02508218 14.44221 8.308646 4.261897e+00 2.451881e+00 0.53272715
## 181 0.02508218 14.44221 8.308646 1.051393e+01 6.048694e+00 0.53272715
## 182 0.01385918 80.47420 51.952006 1.301371e+04 8.401304e+03 0.45308254
## 183 0.01385918 80.47420 51.952006 4.038533e+04 2.607170e+04 0.45308254
## 184 0.01385918 80.47420 51.952006 5.704120e+04 3.682429e+04 0.45308254
## 185 0.01385918 80.47420 51.952006 4.282917e+05 2.764937e+05 0.45308254
## 186 0.01385918 80.47420 51.952006 9.669004e+04 6.242052e+04 0.45308254
## 187 0.01385918 80.47420 51.952006 1.694150e+06 1.093698e+06 0.45308254
## 188 0.01385918 80.47420 51.952006 1.467552e+05 9.474124e+04 0.45308254
## 189 0.01385918 80.47420 51.952006 2.860335e+05 1.846556e+05 0.45308254
## 190 0.01385918 80.47420 51.952006 8.849327e+04 5.712891e+04 0.45308254
## 191 0.01385918 80.47420 51.952006 2.623279e+04 1.693519e+04 0.45308254
## 192 0.01385918 80.47420 51.952006 8.370363e+02 5.403684e+02 0.45308254
## 193 0.01385918 80.47420 51.952006 9.833842e+03 6.348468e+03 0.45308254
## 194 0.01385918 80.47420 51.952006 2.835038e+05 1.830225e+05 0.45308254
## 195 0.01385918 80.47420 51.952006 2.154512e+05 1.390896e+05 0.45308254
## 196 0.01385918 80.47420 51.952006 1.736282e+04 1.120898e+04 0.45308254
## 197 0.01385918 80.47420 51.952006 3.143858e+04 2.029591e+04 0.45308254
## 198 0.01385918 80.47420 51.952006 7.645049e+03 4.935441e+03 0.45308254
## 199 0.01385918 80.47420 51.952006 4.006617e+03 2.586566e+03 0.45308254
## 200 0.01385918 80.47420 51.952006 1.449550e+03 9.357907e+02 0.45308254
## 201 0.01385918 80.47420 51.952006 3.134341e+03 2.023448e+03 0.45308254
## 202 0.01563858 502.46798 210.909780 3.890710e-02 1.633117e-02 1.00003118
## 203 0.01563858 502.46798 210.909780 1.034252e+01 4.341250e+00 1.00003118
## 204 0.01563858 502.46798 210.909780 7.426181e-01 3.117123e-01 1.00003118
## 205 0.01563858 502.46798 210.909780 3.193765e+00 1.340576e+00 1.00003118
## 206 0.01563858 502.46798 210.909780 8.644143e-01 3.628359e-01 1.00003118
## 207 0.01563858 502.46798 210.909780 1.404039e-01 5.893421e-02 1.00003118
## 208 0.01563858 502.46798 210.909780 7.849085e-01 3.294635e-01 1.00003118
## 209 0.01563858 502.46798 210.909780 1.309309e+00 5.495792e-01 1.00003118
## 210 0.01563858 502.46798 210.909780 1.233186e+00 5.176270e-01 1.00003118
## 211 0.01563858 502.46798 210.909780 3.831504e+00 1.608265e+00 1.00003118
## 212 0.01563858 502.46798 210.909780 7.346676e+00 3.083750e+00 1.00003118
## 213 0.01563858 502.46798 210.909780 3.180233e-01 1.334895e-01 1.00003118
## 214 0.01563858 502.46798 210.909780 9.403846e+01 3.947243e+01 1.00003118
## 215 0.01563858 502.46798 210.909780 1.488619e-01 6.248446e-02 1.00003118
## 216 0.01563858 502.46798 210.909780 2.757329e-01 1.157383e-01 1.00003118
## 217 0.01563858 502.46798 210.909780 2.131432e-01 8.946639e-02 1.00003118
## 218 0.01563858 502.46798 210.909780 2.351342e-01 9.869705e-02 1.00003118
## 219 0.01563858 502.46798 210.909780 0.000000e+00 0.000000e+00 1.00003118
## 220 0.01563858 502.46798 210.909780 3.890710e-02 1.633117e-02 1.00003118
## 221 0.01563858 502.46798 210.909780 3.687716e-01 1.547911e-01 1.00003118
## 222 0.01563858 502.46798 210.909780 3.383226e-02 1.420101e-02 1.00003118
## 223 0.01563858 502.46798 210.909780 1.336374e-01 5.609401e-02 1.00003118
## 224 0.01563858 502.46798 210.909780 2.351342e-01 9.869705e-02 1.00003118
## 225 0.01563858 502.46798 210.909780 1.319458e-01 5.538395e-02 1.00003118
## 226 0.01563858 502.46798 210.909780 8.458065e-03 3.550254e-03 1.00003118
## 227 0.01563858 502.46798 210.909780 1.623949e-01 6.816487e-02 1.00003118
## 228 0.01563858 502.46798 210.909780 9.473033e-02 3.976284e-02 1.00003118
## 229 0.01563858 502.46798 210.909780 1.661164e+00 6.972698e-01 1.00003118
## 230 0.01563858 502.46798 210.909780 4.499691e-01 1.888735e-01 1.00003118
## 231 0.01563858 502.46798 210.909780 6.039059e-01 2.534881e-01 1.00003118
## 232 0.01563858 502.46798 210.909780 4.195200e-01 1.760926e-01 1.00003118
## 233 0.01563858 502.46798 210.909780 2.588168e-01 1.086378e-01 1.00003118
## 234 0.01563858 502.46798 210.909780 8.728723e-01 3.663862e-01 1.00003118
## 235 0.01563858 502.46798 210.909780 6.698788e-01 2.811801e-01 1.00003118
## 236 0.01563858 502.46798 210.909780 4.973342e-01 2.087549e-01 1.00003118
## 237 0.01563858 502.46798 210.909780 4.618104e-01 1.938438e-01 1.00003118
## 238 0.01563858 502.46798 210.909780 3.214065e-02 1.349096e-02 1.00003118
## 239 0.01563858 502.46798 210.909780 6.428130e-02 2.698193e-02 1.00003118
## 240 0.01563858 502.46798 210.909780 1.150297e-01 4.828345e-02 1.00003118
## 241 0.01563858 502.46798 210.909780 9.134711e-02 3.834274e-02 1.00003118
## 242 0.01563858 502.46798 210.909780 6.428130e-02 2.698193e-02 1.00003118
## 243 0.01563858 502.46798 210.909780 1.150297e-01 4.828345e-02 1.00003118
## 244 0.01563858 502.46798 210.909780 4.059871e-02 1.704122e-02 1.00003118
## 245 0.01563858 502.46798 210.909780 1.894607e-01 7.952568e-02 1.00003118
## 246 0.01563858 502.46798 210.909780 3.992207e-01 1.675720e-01 1.00003118
## 247 0.01563858 502.46798 210.909780 3.061820e-01 1.285192e-01 1.00003118
## 248 0.01563858 502.46798 210.909780 4.406652e+00 1.849682e+00 1.00003118
## 249 0.01563858 502.46798 210.909780 2.165265e-01 9.088649e-02 1.00003118
## 250 0.01563858 502.46798 210.909780 8.255072e-01 3.465047e-01 1.00003118
## 251 0.01563858 502.46798 210.909780 4.903986e+00 2.058437e+00 1.00003118
## 252 0.01563858 502.46798 210.909780 2.341192e+00 9.827102e-01 1.00003118
## 253 0.01563858 502.46798 210.909780 7.206272e-01 3.024816e-01 1.00003118
## 254 0.01563858 502.46798 210.909780 9.980517e-02 4.189299e-02 1.00003118
## 255 0.01563858 502.46798 210.909780 1.556284e-01 6.532466e-02 1.00003118
## 256 0.01563858 502.46798 210.909780 1.077558e+00 4.523023e-01 1.00003118
## 257 0.01563858 502.46798 210.909780 2.383483e+00 1.000461e+00 1.00003118
## 258 0.01563858 502.46798 210.909780 1.370207e-01 5.751411e-02 1.00003118
## 259 0.01563858 502.46798 210.909780 2.216013e-01 9.301664e-02 1.00003118
## 260 0.01563858 62.46952 38.520384 6.171819e+02 3.805709e+02 0.58025605
## 261 0.01563858 62.46952 38.520384 4.870846e+02 3.003495e+02 0.58025605
## 262 0.01563858 62.46952 38.520384 1.323843e+03 8.163174e+02 0.58025605
## 263 0.01563858 62.46952 38.520384 1.118023e+02 6.894030e+01 0.58025605
## 264 0.01563858 62.46952 38.520384 3.474679e+02 2.142581e+02 0.58025605
## 265 0.01563858 62.46952 38.520384 8.877311e+02 5.473989e+02 0.58025605
## 266 0.01563858 62.46952 38.520384 4.141041e+02 2.553477e+02 0.58025605
## 267 0.01563858 62.46952 38.520384 2.818947e+02 1.738238e+02 0.58025605
## 268 0.01563858 62.46952 38.520384 4.815073e+02 2.969104e+02 0.58025605
## 269 0.01563858 62.46952 38.520384 4.543394e+02 2.801579e+02 0.58025605
## 270 0.01563858 62.46952 38.520384 1.171717e+03 7.225125e+02 0.58025605
## 271 0.01563858 62.46952 38.520384 3.332452e+03 2.054880e+03 0.58025605
## 272 0.01563858 62.46952 38.520384 2.930050e+02 1.806747e+02 0.58025605
## 273 0.01563858 62.46952 38.520384 1.602171e+02 9.879415e+01 0.58025605
## 274 0.01563858 62.46952 38.520384 8.469330e+02 5.222417e+02 0.58025605
## 275 0.01563858 62.46952 38.520384 6.371058e+01 3.928566e+01 0.58025605
## 276 0.01563858 62.46952 38.520384 0.000000e+00 0.000000e+00 0.58025605
## 277 0.01563858 62.46952 38.520384 1.769354e+02 1.091031e+02 0.58025605
## 278 0.01563858 62.46952 38.520384 6.930295e+01 4.273406e+01 0.58025605
## 279 0.01563858 62.46952 38.520384 1.233186e+02 7.604156e+01 0.58025605
## 280 0.01563858 62.46952 38.520384 3.579304e+02 2.207095e+02 0.58025605
## 281 0.01563858 62.46952 38.520384 6.408535e+02 3.951675e+02 0.58025605
## 282 0.01563858 62.46952 38.520384 2.646539e+02 1.631927e+02 0.58025605
## 283 0.01563858 62.46952 38.520384 1.575825e+03 9.716961e+02 0.58025605
## 284 0.01563858 62.46952 38.520384 4.989248e+02 3.076505e+02 0.58025605
## 285 0.01563858 62.46952 38.520384 1.325675e+03 8.174467e+02 0.58025605
## 286 0.01563858 62.46952 38.520384 2.327653e+02 1.435293e+02 0.58025605
## 287 0.01563858 62.46952 38.520384 9.213992e+01 5.681596e+01 0.58025605
## 288 0.01563858 62.46952 38.520384 3.487067e+03 2.150219e+03 0.58025605
## 289 0.01563858 62.46952 38.520384 2.200075e+02 1.356626e+02 0.58025605
## 290 0.01563858 62.46952 38.520384 2.150919e+02 1.326314e+02 0.58025605
## 291 0.01563858 62.46952 38.520384 1.568213e+02 9.670025e+01 0.58025605
## 292 0.01563858 62.46952 38.520384 4.169900e+02 2.571272e+02 0.58025605
## 293 0.01563858 62.46952 38.520384 3.420412e+02 2.109118e+02 0.58025605
## 294 0.01563858 62.46952 38.520384 1.832834e+03 1.130175e+03 0.58025605
## 295 0.01563858 62.46952 38.520384 6.151590e+02 3.793236e+02 0.58025605
## 296 0.01563858 62.46952 38.520384 1.290089e+02 7.955034e+01 0.58025605
## 297 0.01563858 62.46952 38.520384 7.942666e+02 4.897662e+02 0.58025605
## 298 0.01563858 62.46952 38.520384 4.325374e+02 2.667142e+02 0.58025605
## 299 0.01563858 62.46952 38.520384 2.062770e+02 1.271959e+02 0.58025605
## 300 0.01563858 62.46952 38.520384 3.447117e+02 2.125585e+02 0.58025605
## 301 0.01563858 62.46952 38.520384 5.608108e+02 3.458110e+02 0.58025605
## 302 0.01563858 62.46952 38.520384 1.283799e+03 7.916250e+02 0.58025605
## 303 0.01563858 62.46952 38.520384 4.691909e+02 2.893158e+02 0.58025605
## 304 0.01563858 62.46952 38.520384 3.988123e+02 2.459184e+02 0.58025605
## 305 0.01563858 62.46952 38.520384 7.159017e+02 4.414442e+02 0.58025605
## 306 0.01563858 62.46952 38.520384 7.380029e+02 4.550725e+02 0.58025605
## 307 0.01563858 62.46952 38.520384 3.891394e+02 2.399538e+02 0.58025605
## 308 0.01563858 62.46952 38.520384 6.232138e+02 3.842904e+02 0.58025605
## proportion.rsd fiber.correction.rsd combined.rsd conc.combined.sd
## 1 NA 0.3031438 NA NA
## 2 NA 0.3031438 NA NA
## 3 NA 0.3031438 NA NA
## 4 NA 0.3031438 NA NA
## 5 NA 0.3031438 NA NA
## 6 NA 0.3031438 NA NA
## 7 NA 0.3031438 NA NA
## 8 NA 0.3031438 NA NA
## 9 NA 0.3031438 NA NA
## 10 NA 0.3031438 NA NA
## 11 NA 0.3031438 NA NA
## 12 NA 0.3031438 NA NA
## 13 NA 0.3031438 NA NA
## 14 NA 0.3031438 NA NA
## 15 NA 0.3031438 NA NA
## 16 NA 0.3031438 NA NA
## 17 NA 0.3031438 NA NA
## 18 NA 0.3031438 NA NA
## 19 NA 0.3031438 NA NA
## 20 NA 0.3031438 NA NA
## 21 NA 0.3031438 NA NA
## 22 NA 0.3031438 NA NA
## 23 NA 0.3031438 NA NA
## 24 NA 0.3031438 NA NA
## 25 NA 0.3031438 NA NA
## 26 NA 0.3031438 NA NA
## 27 NA 0.3031438 NA NA
## 28 NA 0.3031438 NA NA
## 29 NA 0.3031438 NA NA
## 30 NA 0.3031438 NA NA
## 31 NA 0.3031438 NA NA
## 32 NA 0.3031438 NA NA
## 33 NA 0.3031438 NA NA
## 34 NA 0.3031438 NA NA
## 35 NA 0.3031438 NA NA
## 36 NA 0.3031438 NA NA
## 37 NA 0.3031438 NA NA
## 38 NA 0.3031438 NA NA
## 39 NA 0.3031438 NA NA
## 40 NA 0.3031438 NA NA
## 41 NA 0.3031438 NA NA
## 42 NA 0.3031438 NA NA
## 43 NA 0.3031438 NA NA
## 44 NA 0.3031438 NA NA
## 45 NA 0.3031438 NA NA
## 46 NA 0.3031438 NA NA
## 47 NA 0.3031438 NA NA
## 48 NA 0.3031438 NA NA
## 49 NA 0.3031438 NA NA
## 50 NA 0.3031438 NA NA
## 51 NA 0.3031438 NA NA
## 52 NA 0.3031438 NA NA
## 53 NA 0.3031438 NA NA
## 54 NA 0.3031438 NA NA
## 55 NA 0.3031438 NA NA
## 56 NA 0.3031438 NA NA
## 57 NA 0.3031438 NA NA
## 58 NA 0.3031438 NA NA
## 59 NA 0.3031438 NA NA
## 60 NA 0.3031438 NA NA
## 61 NA 0.3031438 NA NA
## 62 NA 0.3031438 NA NA
## 63 NA 0.3031438 NA NA
## 64 NA 0.3031438 NA NA
## 65 NA 0.3031438 NA NA
## 66 NA 0.3031438 NA NA
## 67 NA 0.3031438 NA NA
## 68 NA 0.3031438 NA NA
## 69 NA 0.3031438 NA NA
## 70 NA 0.3031438 NA NA
## 71 NA 0.3031438 NA NA
## 72 NA 0.3031438 NA NA
## 73 NA 0.3031438 NA NA
## 74 NA 0.3031438 NA NA
## 75 NA 0.3031438 NA NA
## 76 NA 0.3031438 NA NA
## 77 NA 0.3031438 NA NA
## 78 NA 0.3031438 NA NA
## 79 NA 0.3031438 NA NA
## 80 NA 0.3031438 NA NA
## 81 NA 0.3031438 NA NA
## 82 NA 0.3031438 NA NA
## 83 NA 0.3031438 NA NA
## 84 NA 0.3031438 NA NA
## 85 NA 0.3031438 NA NA
## 86 NA 0.3031438 NA NA
## 87 NA 0.3031438 NA NA
## 88 NA 0.3031438 NA NA
## 89 NA 0.3031438 NA NA
## 90 NA 0.3031438 NA NA
## 91 NA 0.3031438 NA NA
## 92 NA 0.3031438 NA NA
## 93 NA 0.3031438 NA NA
## 94 NA 0.3031438 NA NA
## 95 NA 0.3031438 NA NA
## 96 NA 0.3031438 NA NA
## 97 NA 0.3031438 NA NA
## 98 NA 0.3031438 NA NA
## 99 NA 0.3031438 NA NA
## 100 NA 0.3031438 NA NA
## 101 NA 0.3031438 NA NA
## 102 NA 0.3031438 NA NA
## 103 NA 0.3031438 NA NA
## 104 NA 0.3031438 NA NA
## 105 NA 0.3031438 NA NA
## 106 NA 0.3031438 NA NA
## 107 NA 0.3031438 NA NA
## 108 NA 0.3031438 NA NA
## 109 NA 0.3031438 NA NA
## 110 NA 0.3031438 NA NA
## 111 NA 0.3031438 NA NA
## 112 NA 0.3031438 NA NA
## 113 NA 0.3031438 NA NA
## 114 NA 0.3031438 NA NA
## 115 NA 0.3031438 NA NA
## 116 NA 0.3031438 NA NA
## 117 NA 0.3031438 NA NA
## 118 NA 0.3031438 NA NA
## 119 NA 0.3031438 NA NA
## 120 NA 0.3031438 NA NA
## 121 NA 0.3031438 NA NA
## 122 NA 0.3031438 NA NA
## 123 NA 0.3031438 NA NA
## 124 NA 0.3031438 NA NA
## 125 NA 0.3031438 NA NA
## 126 NA 0.3031438 NA NA
## 127 NA 0.3031438 NA NA
## 128 NA 0.3031438 NA NA
## 129 NA 0.3031438 NA NA
## 130 NA 0.3031438 NA NA
## 131 NA 0.3031438 NA NA
## 132 NA 0.3031438 NA NA
## 133 NA 0.3031438 NA NA
## 134 NA 0.3031438 NA NA
## 135 NA 0.3031438 NA NA
## 136 NA 0.3031438 NA NA
## 137 NA 0.3031438 NA NA
## 138 NA 0.3031438 NA NA
## 139 NA 0.3031438 NA NA
## 140 NA 0.3031438 NA NA
## 141 NA 0.3031438 NA NA
## 142 NA 0.3031438 NA NA
## 143 NA 0.3031438 NA NA
## 144 NA 0.3031438 NA NA
## 145 NA 0.3031438 NA NA
## 146 NA 0.3031438 NA NA
## 147 NA 0.3031438 NA NA
## 148 NA 0.3031438 NA NA
## 149 NA 0.3031438 NA NA
## 150 NA 0.3031438 NA NA
## 151 NA 0.3031438 NA NA
## 152 NA 0.3031438 NA NA
## 153 NA 0.3031438 NA NA
## 154 NA 0.3031438 NA NA
## 155 NA 0.3031438 NA NA
## 156 NA 0.3031438 NA NA
## 157 NA 0.3031438 NA NA
## 158 NA 0.3031438 NA NA
## 159 NA 0.3031438 NA NA
## 160 NA 0.3031438 NA NA
## 161 NA 0.3031438 NA NA
## 162 NA 0.3031438 NA NA
## 163 NA 0.3031438 NA NA
## 164 NA 0.3031438 NA NA
## 165 NA 0.3031438 NA NA
## 166 NA 0.3031438 NA NA
## 167 NA 0.3031438 NA NA
## 168 NA 0.3031438 NA NA
## 169 NA 0.3031438 NA NA
## 170 NA 0.3031438 NA NA
## 171 NA 0.3031438 NA NA
## 172 NA 0.3031438 NA NA
## 173 NA 0.3031438 NA NA
## 174 NA 0.3031438 NA NA
## 175 NA 0.3031438 NA NA
## 176 NA 0.3031438 NA NA
## 177 NA 0.3031438 NA NA
## 178 NA 0.3031438 NA NA
## 179 NA 0.3031438 NA NA
## 180 NA 0.3031438 NA NA
## 181 NA 0.3031438 NA NA
## 182 NA 0.3031438 NA NA
## 183 NA 0.3031438 NA NA
## 184 NA 0.3031438 NA NA
## 185 NA 0.3031438 NA NA
## 186 NA 0.3031438 NA NA
## 187 NA 0.3031438 NA NA
## 188 NA 0.3031438 NA NA
## 189 NA 0.3031438 NA NA
## 190 NA 0.3031438 NA NA
## 191 NA 0.3031438 NA NA
## 192 NA 0.3031438 NA NA
## 193 NA 0.3031438 NA NA
## 194 NA 0.3031438 NA NA
## 195 NA 0.3031438 NA NA
## 196 NA 0.3031438 NA NA
## 197 NA 0.3031438 NA NA
## 198 NA 0.3031438 NA NA
## 199 NA 0.3031438 NA NA
## 200 NA 0.3031438 NA NA
## 201 NA 0.3031438 NA NA
## 202 0.3229184 0.3031438 1.093725 0.04669306
## 203 0.3229184 0.3031438 1.093725 12.41223317
## 204 0.3229184 0.3031438 1.093725 0.89122839
## 205 0.3229184 0.3031438 1.093725 3.83289111
## 206 0.3229184 0.3031438 1.093725 1.03739796
## 207 0.3229184 0.3031438 1.093725 0.16850104
## 208 0.3229184 0.3031438 1.093725 0.94198171
## 209 0.3229184 0.3031438 1.093725 1.57132294
## 210 0.3229184 0.3031438 1.093725 1.47996696
## 211 0.3229184 0.3031438 1.093725 4.59825125
## 212 0.3229184 0.3031438 1.093725 8.81686762
## 213 0.3229184 0.3031438 1.093725 0.38166500
## 214 0.3229184 0.3031438 1.093725 112.85712364
## 215 0.3229184 0.3031438 1.093725 0.17865170
## 216 0.3229184 0.3031438 1.093725 0.33091168
## 217 0.3229184 0.3031438 1.093725 0.25579676
## 218 0.3229184 0.3031438 1.093725 0.28218849
## 219 0.3229184 0.3031438 1.093725 0.00000000
## 220 0.3229184 0.3031438 1.093725 0.04669306
## 221 0.3229184 0.3031438 1.093725 0.44256899
## 222 0.3229184 0.3031438 1.093725 0.04060266
## 223 0.3229184 0.3031438 1.093725 0.16038051
## 224 0.3229184 0.3031438 1.093725 0.28218849
## 225 0.3229184 0.3031438 1.093725 0.15835037
## 226 0.3229184 0.3031438 1.093725 0.01015067
## 227 0.3229184 0.3031438 1.093725 0.19489277
## 228 0.3229184 0.3031438 1.093725 0.11368745
## 229 0.3229184 0.3031438 1.093725 1.99359061
## 230 0.3229184 0.3031438 1.093725 0.54001538
## 231 0.3229184 0.3031438 1.093725 0.72475748
## 232 0.3229184 0.3031438 1.093725 0.50347298
## 233 0.3229184 0.3031438 1.093725 0.31061035
## 234 0.3229184 0.3031438 1.093725 1.04754863
## 235 0.3229184 0.3031438 1.093725 0.80393267
## 236 0.3229184 0.3031438 1.093725 0.59685910
## 237 0.3229184 0.3031438 1.093725 0.55422631
## 238 0.3229184 0.3031438 1.093725 0.03857253
## 239 0.3229184 0.3031438 1.093725 0.07714505
## 240 0.3229184 0.3031438 1.093725 0.13804904
## 241 0.3229184 0.3031438 1.093725 0.10962718
## 242 0.3229184 0.3031438 1.093725 0.07714505
## 243 0.3229184 0.3031438 1.093725 0.13804904
## 244 0.3229184 0.3031438 1.093725 0.04872319
## 245 0.3229184 0.3031438 1.093725 0.22737490
## 246 0.3229184 0.3031438 1.093725 0.47911139
## 247 0.3229184 0.3031438 1.093725 0.36745407
## 248 0.3229184 0.3031438 1.093725 5.28849647
## 249 0.3229184 0.3031438 1.093725 0.25985702
## 250 0.3229184 0.3031438 1.093725 0.99070490
## 251 0.3229184 0.3031438 1.093725 5.88535557
## 252 0.3229184 0.3031438 1.093725 2.80970407
## 253 0.3229184 0.3031438 1.093725 0.86483666
## 254 0.3229184 0.3031438 1.093725 0.11977785
## 255 0.3229184 0.3031438 1.093725 0.18677224
## 256 0.3229184 0.3031438 1.093725 1.29319472
## 257 0.3229184 0.3031438 1.093725 2.86045740
## 258 0.3229184 0.3031438 1.093725 0.16444077
## 259 0.3229184 0.3031438 1.093725 0.26594742
## 260 NA 0.3031438 NA NA
## 261 NA 0.3031438 NA NA
## 262 NA 0.3031438 NA NA
## 263 NA 0.3031438 NA NA
## 264 NA 0.3031438 NA NA
## 265 NA 0.3031438 NA NA
## 266 NA 0.3031438 NA NA
## 267 NA 0.3031438 NA NA
## 268 NA 0.3031438 NA NA
## 269 NA 0.3031438 NA NA
## 270 NA 0.3031438 NA NA
## 271 NA 0.3031438 NA NA
## 272 NA 0.3031438 NA NA
## 273 NA 0.3031438 NA NA
## 274 NA 0.3031438 NA NA
## 275 NA 0.3031438 NA NA
## 276 NA 0.3031438 NA NA
## 277 NA 0.3031438 NA NA
## 278 NA 0.3031438 NA NA
## 279 NA 0.3031438 NA NA
## 280 NA 0.3031438 NA NA
## 281 NA 0.3031438 NA NA
## 282 NA 0.3031438 NA NA
## 283 NA 0.3031438 NA NA
## 284 NA 0.3031438 NA NA
## 285 NA 0.3031438 NA NA
## 286 NA 0.3031438 NA NA
## 287 NA 0.3031438 NA NA
## 288 NA 0.3031438 NA NA
## 289 NA 0.3031438 NA NA
## 290 NA 0.3031438 NA NA
## 291 NA 0.3031438 NA NA
## 292 NA 0.3031438 NA NA
## 293 NA 0.3031438 NA NA
## 294 NA 0.3031438 NA NA
## 295 NA 0.3031438 NA NA
## 296 NA 0.3031438 NA NA
## 297 NA 0.3031438 NA NA
## 298 NA 0.3031438 NA NA
## 299 NA 0.3031438 NA NA
## 300 NA 0.3031438 NA NA
## 301 NA 0.3031438 NA NA
## 302 NA 0.3031438 NA NA
## 303 NA 0.3031438 NA NA
## 304 NA 0.3031438 NA NA
## 305 NA 0.3031438 NA NA
## 306 NA 0.3031438 NA NA
## 307 NA 0.3031438 NA NA
## 308 NA 0.3031438 NA NA
## conc.combined.upper.95 conc.combined.lower.95 conc.upper.95.proportion
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## 7 NA NA NA
## 8 NA NA NA
## 9 NA NA NA
## 10 NA NA NA
## 11 NA NA NA
## 12 NA NA NA
## 13 NA NA NA
## 14 NA NA NA
## 15 NA NA NA
## 16 NA NA NA
## 17 NA NA NA
## 18 NA NA NA
## 19 NA NA NA
## 20 NA NA NA
## 21 NA NA NA
## 22 NA NA NA
## 23 NA NA NA
## 24 NA NA NA
## 25 NA NA NA
## 26 NA NA NA
## 27 NA NA NA
## 28 NA NA NA
## 29 NA NA NA
## 30 NA NA NA
## 31 NA NA NA
## 32 NA NA NA
## 33 NA NA NA
## 34 NA NA NA
## 35 NA NA NA
## 36 NA NA NA
## 37 NA NA NA
## 38 NA NA NA
## 39 NA NA NA
## 40 NA NA NA
## 41 NA NA NA
## 42 NA NA NA
## 43 NA NA NA
## 44 NA NA NA
## 45 NA NA NA
## 46 NA NA NA
## 47 NA NA NA
## 48 NA NA NA
## 49 NA NA NA
## 50 NA NA NA
## 51 NA NA NA
## 52 NA NA NA
## 53 NA NA NA
## 54 NA NA NA
## 55 NA NA NA
## 56 NA NA NA
## 57 NA NA NA
## 58 NA NA NA
## 59 NA NA NA
## 60 NA NA NA
## 61 NA NA NA
## 62 NA NA NA
## 63 NA NA NA
## 64 NA NA NA
## 65 NA NA NA
## 66 NA NA NA
## 67 NA NA NA
## 68 NA NA NA
## 69 NA NA NA
## 70 NA NA NA
## 71 NA NA NA
## 72 NA NA NA
## 73 NA NA NA
## 74 NA NA NA
## 75 NA NA NA
## 76 NA NA NA
## 77 NA NA NA
## 78 NA NA NA
## 79 NA NA NA
## 80 NA NA NA
## 81 NA NA NA
## 82 NA NA NA
## 83 NA NA NA
## 84 NA NA NA
## 85 NA NA NA
## 86 NA NA NA
## 87 NA NA NA
## 88 NA NA NA
## 89 NA NA NA
## 90 NA NA NA
## 91 NA NA NA
## 92 NA NA NA
## 93 NA NA NA
## 94 NA NA NA
## 95 NA NA NA
## 96 NA NA NA
## 97 NA NA NA
## 98 NA NA NA
## 99 NA NA NA
## 100 NA NA NA
## 101 NA NA NA
## 102 NA NA NA
## 103 NA NA NA
## 104 NA NA NA
## 105 NA NA NA
## 106 NA NA NA
## 107 NA NA NA
## 108 NA NA NA
## 109 NA NA NA
## 110 NA NA NA
## 111 NA NA NA
## 112 NA NA NA
## 113 NA NA NA
## 114 NA NA NA
## 115 NA NA NA
## 116 NA NA NA
## 117 NA NA NA
## 118 NA NA NA
## 119 NA NA NA
## 120 NA NA NA
## 121 NA NA NA
## 122 NA NA NA
## 123 NA NA NA
## 124 NA NA NA
## 125 NA NA NA
## 126 NA NA NA
## 127 NA NA NA
## 128 NA NA NA
## 129 NA NA NA
## 130 NA NA NA
## 131 NA NA NA
## 132 NA NA NA
## 133 NA NA NA
## 134 NA NA NA
## 135 NA NA NA
## 136 NA NA NA
## 137 NA NA NA
## 138 NA NA NA
## 139 NA NA NA
## 140 NA NA NA
## 141 NA NA NA
## 142 NA NA NA
## 143 NA NA NA
## 144 NA NA NA
## 145 NA NA NA
## 146 NA NA NA
## 147 NA NA NA
## 148 NA NA NA
## 149 NA NA NA
## 150 NA NA NA
## 151 NA NA NA
## 152 NA NA NA
## 153 NA NA NA
## 154 NA NA NA
## 155 NA NA NA
## 156 NA NA NA
## 157 NA NA NA
## 158 NA NA NA
## 159 NA NA NA
## 160 NA NA NA
## 161 NA NA NA
## 162 NA NA NA
## 163 NA NA NA
## 164 NA NA NA
## 165 NA NA NA
## 166 NA NA NA
## 167 NA NA NA
## 168 NA NA NA
## 169 NA NA NA
## 170 NA NA NA
## 171 NA NA NA
## 172 NA NA NA
## 173 NA NA NA
## 174 NA NA NA
## 175 NA NA NA
## 176 NA NA NA
## 177 NA NA NA
## 178 NA NA NA
## 179 NA NA NA
## 180 NA NA NA
## 181 NA NA NA
## 182 NA NA NA
## 183 NA NA NA
## 184 NA NA NA
## 185 NA NA NA
## 186 NA NA NA
## 187 NA NA NA
## 188 NA NA NA
## 189 NA NA NA
## 190 NA NA NA
## 191 NA NA NA
## 192 NA NA NA
## 193 NA NA NA
## 194 NA NA NA
## 195 NA NA NA
## 196 NA NA NA
## 197 NA NA NA
## 198 NA NA NA
## 199 NA NA NA
## 200 NA NA NA
## 201 NA NA NA
## 202 0.07319790 0.012185632 0.04623973
## 203 19.45791034 3.239259002 12.29172557
## 204 1.39712506 0.232586638 0.88257565
## 205 6.00859253 1.000281484 3.79567842
## 206 1.62626630 0.270732965 1.02732610
## 207 0.26414893 0.043974239 0.16686510
## 208 1.47668799 0.245831890 0.93283622
## 209 2.46326834 0.410073024 1.55606732
## 210 2.32005506 0.386231569 1.46559829
## 211 7.20840152 1.200019895 4.55360785
## 212 13.82167233 2.300965300 8.73126662
## 213 0.59831324 0.099604300 0.37795950
## 214 176.91931528 29.452673727 111.76141905
## 215 0.28006152 0.046623290 0.17691721
## 216 0.51875031 0.086359048 0.32769893
## 217 0.40099717 0.066756074 0.25331328
## 218 0.44236989 0.073643605 0.27944878
## 219 0.00000000 0.000000000 0.00000000
## 220 0.07319790 0.012185632 0.04623973
## 221 0.69378876 0.115498604 0.43827219
## 222 0.06365034 0.010596202 0.04020846
## 223 0.25141886 0.041854999 0.15882341
## 224 0.44236989 0.073643605 0.27944878
## 225 0.24823634 0.041325188 0.15681299
## 226 0.01591259 0.002649051 0.01005211
## 227 0.30552165 0.050861770 0.19300060
## 228 0.17822096 0.029669366 0.11258368
## 229 3.12523192 0.520273526 1.97423528
## 230 0.84654958 0.140929489 0.53477249
## 231 1.13615865 0.189142209 0.71772097
## 232 0.78926427 0.131392907 0.49858488
## 233 0.48692514 0.081060947 0.30759470
## 234 1.64217889 0.273382016 1.03737821
## 235 1.26027682 0.209804803 0.79612747
## 236 0.93566007 0.155764172 0.59106433
## 237 0.86882720 0.144638160 0.54884545
## 238 0.06046783 0.010066392 0.03819803
## 239 0.12093565 0.020132784 0.07639607
## 240 0.21641117 0.036027087 0.13670876
## 241 0.17185593 0.028609746 0.10856284
## 242 0.12093565 0.020132784 0.07639607
## 243 0.21641117 0.036027087 0.13670876
## 244 0.07638041 0.012715443 0.04825015
## 245 0.35644193 0.059338732 0.22516736
## 246 0.75107407 0.125035186 0.47445980
## 247 0.57603562 0.095895630 0.36388654
## 248 8.29045738 1.380155332 5.23715164
## 249 0.40736221 0.067815694 0.25733413
## 250 1.55306841 0.258547333 0.98108637
## 251 9.22611745 1.535919504 5.82821597
## 252 4.40460384 0.733257190 2.78242528
## 253 1.35575234 0.225699106 0.85644015
## 254 0.18776852 0.031258796 0.11861495
## 255 0.29279159 0.048742530 0.18495891
## 256 2.02726347 0.337489039 1.28063938
## 257 4.48416678 0.746502443 2.83268586
## 258 0.25778390 0.042914619 0.16284425
## 259 0.41690976 0.069405124 0.26336540
## 260 NA NA NA
## 261 NA NA NA
## 262 NA NA NA
## 263 NA NA NA
## 264 NA NA NA
## 265 NA NA NA
## 266 NA NA NA
## 267 NA NA NA
## 268 NA NA NA
## 269 NA NA NA
## 270 NA NA NA
## 271 NA NA NA
## 272 NA NA NA
## 273 NA NA NA
## 274 NA NA NA
## 275 NA NA NA
## 276 NA NA NA
## 277 NA NA NA
## 278 NA NA NA
## 279 NA NA NA
## 280 NA NA NA
## 281 NA NA NA
## 282 NA NA NA
## 283 NA NA NA
## 284 NA NA NA
## 285 NA NA NA
## 286 NA NA NA
## 287 NA NA NA
## 288 NA NA NA
## 289 NA NA NA
## 290 NA NA NA
## 291 NA NA NA
## 292 NA NA NA
## 293 NA NA NA
## 294 NA NA NA
## 295 NA NA NA
## 296 NA NA NA
## 297 NA NA NA
## 298 NA NA NA
## 299 NA NA NA
## 300 NA NA NA
## 301 NA NA NA
## 302 NA NA NA
## 303 NA NA NA
## 304 NA NA NA
## 305 NA NA NA
## 306 NA NA NA
## 307 NA NA NA
## 308 NA NA NA
## conc.lower.95.proportion conc.upper.95.fiber conc.lower.95.fiber
## 1 NA NA 3.658766e+01
## 2 NA NA 3.703658e+01
## 3 NA NA 1.616142e+02
## 4 NA NA 1.263733e+02
## 5 NA NA 1.108853e+02
## 6 NA NA 1.892233e+02
## 7 NA NA 2.258109e+02
## 8 NA NA 5.185122e+01
## 9 NA NA 2.446659e+01
## 10 NA NA 4.004440e+02
## 11 NA NA 2.774377e+02
## 12 NA NA 5.479170e+02
## 13 NA NA 2.495505e-01
## 14 NA NA 4.449351e-02
## 15 NA NA 6.879083e-01
## 16 NA NA 1.628849e-01
## 17 NA NA 1.160700e-02
## 18 NA NA 2.089260e-02
## 19 NA NA 7.196341e-02
## 20 NA NA 9.014772e-02
## 21 NA NA 8.589182e-02
## 22 NA NA 3.010083e-01
## 23 NA NA 1.431530e-02
## 24 NA NA 2.127950e-02
## 25 NA NA 4.190128e-01
## 26 NA NA 6.163318e-01
## 27 NA NA 7.026105e-01
## 28 NA NA 2.901751e-02
## 29 NA NA 2.642528e-01
## 30 NA NA NA
## 31 NA NA NA
## 32 NA NA NA
## 33 NA NA NA
## 34 NA NA NA
## 35 NA NA NA
## 36 NA NA NA
## 37 NA NA NA
## 38 NA NA NA
## 39 NA NA NA
## 40 NA NA NA
## 41 NA NA NA
## 42 NA NA NA
## 43 NA NA NA
## 44 NA NA NA
## 45 NA NA NA
## 46 NA NA NA
## 47 NA NA NA
## 48 NA NA NA
## 49 NA NA NA
## 50 NA NA NA
## 51 NA NA NA
## 52 NA NA NA
## 53 NA NA NA
## 54 NA NA NA
## 55 NA NA NA
## 56 NA NA NA
## 57 NA NA NA
## 58 NA NA NA
## 59 NA NA NA
## 60 NA NA NA
## 61 NA NA NA
## 62 NA NA NA
## 63 NA NA NA
## 64 NA NA NA
## 65 NA NA NA
## 66 NA NA NA
## 67 NA NA NA
## 68 NA NA NA
## 69 NA NA NA
## 70 NA NA NA
## 71 NA NA NA
## 72 NA NA NA
## 73 NA NA NA
## 74 NA NA NA
## 75 NA NA NA
## 76 NA NA NA
## 77 NA NA NA
## 78 NA NA NA
## 79 NA NA NA
## 80 NA NA NA
## 81 NA NA NA
## 82 NA NA NA
## 83 NA NA NA
## 84 NA NA NA
## 85 NA NA NA
## 86 NA NA NA
## 87 NA NA NA
## 88 NA NA NA
## 89 NA NA NA
## 90 NA NA NA
## 91 NA NA NA
## 92 NA NA NA
## 93 NA NA NA
## 94 NA NA NA
## 95 NA NA NA
## 96 NA NA NA
## 97 NA NA NA
## 98 NA NA NA
## 99 NA NA NA
## 100 NA NA NA
## 101 NA NA NA
## 102 NA NA NA
## 103 NA NA NA
## 104 NA NA NA
## 105 NA NA NA
## 106 NA NA NA
## 107 NA NA NA
## 108 NA NA NA
## 109 NA NA NA
## 110 NA NA NA
## 111 NA NA NA
## 112 NA NA NA
## 113 NA NA NA
## 114 NA NA NA
## 115 NA NA NA
## 116 NA NA NA
## 117 NA NA NA
## 118 NA NA NA
## 119 NA NA NA
## 120 NA NA NA
## 121 NA NA NA
## 122 NA NA NA
## 123 NA NA NA
## 124 NA NA NA
## 125 NA NA NA
## 126 NA NA NA
## 127 NA NA NA
## 128 NA NA NA
## 129 NA NA NA
## 130 NA NA NA
## 131 NA NA NA
## 132 NA NA NA
## 133 NA NA NA
## 134 NA NA NA
## 135 NA NA NA
## 136 NA NA NA
## 137 NA NA NA
## 138 NA NA NA
## 139 NA NA NA
## 140 NA NA NA
## 141 NA NA NA
## 142 NA NA NA
## 143 NA NA NA
## 144 NA NA NA
## 145 NA NA NA
## 146 NA NA NA
## 147 NA NA NA
## 148 NA NA NA
## 149 NA NA NA
## 150 NA NA NA
## 151 NA NA NA
## 152 NA NA NA
## 153 NA NA NA
## 154 NA NA NA
## 155 NA NA NA
## 156 NA NA NA
## 157 NA NA NA
## 158 NA NA NA
## 159 NA NA NA
## 160 NA NA NA
## 161 NA NA NA
## 162 NA NA NA
## 163 NA NA NA
## 164 NA NA NA
## 165 NA NA NA
## 166 NA NA NA
## 167 NA NA NA
## 168 NA NA NA
## 169 NA NA NA
## 170 NA NA NA
## 171 NA NA NA
## 172 NA NA NA
## 173 NA NA NA
## 174 NA NA NA
## 175 NA NA NA
## 176 NA NA NA
## 177 NA NA NA
## 178 NA NA NA
## 179 NA NA NA
## 180 NA NA NA
## 181 NA NA NA
## 182 NA NA NA
## 183 NA NA NA
## 184 NA NA NA
## 185 NA NA NA
## 186 NA NA NA
## 187 NA NA NA
## 188 NA NA NA
## 189 NA NA NA
## 190 NA NA NA
## 191 NA NA NA
## 192 NA NA NA
## 193 NA NA NA
## 194 NA NA NA
## 195 NA NA NA
## 196 NA NA NA
## 197 NA NA NA
## 198 NA NA NA
## 199 NA NA NA
## 200 NA NA NA
## 201 NA NA NA
## 202 0.039143802 0.04623973 3.423649e-02
## 203 10.405443771 12.29172557 9.100952e+00
## 204 0.747136051 0.88257565 6.534704e-01
## 205 3.213195590 3.79567842 2.810369e+00
## 206 0.869673171 1.02732610 7.606455e-01
## 207 0.141258069 0.16686510 1.235491e-01
## 208 0.789683662 0.93283622 6.906840e-01
## 209 1.317274040 1.55606732 1.152132e+00
## 210 1.240688340 1.46559829 1.085148e+00
## 211 3.854813566 4.55360785 3.371550e+00
## 212 7.391371001 8.73126662 6.464743e+00
## 213 0.319958035 0.37795950 2.798461e-01
## 214 94.610569952 111.76141905 8.274960e+01
## 215 0.149767591 0.17691721 1.309918e-01
## 216 0.277410424 0.32769893 2.426325e-01
## 217 0.214439960 0.25331328 1.875564e-01
## 218 0.236564718 0.27944878 2.069075e-01
## 219 0.000000000 0.00000000 0.000000e+00
## 220 0.039143802 0.04623973 3.423649e-02
## 221 0.371015169 0.43827219 3.245024e-01
## 222 0.034038089 0.04020846 2.977086e-02
## 223 0.134450451 0.15882341 1.175949e-01
## 224 0.236564718 0.27944878 2.069075e-01
## 225 0.132748547 0.15681299 1.161064e-01
## 226 0.008509522 0.01005211 7.442715e-03
## 227 0.163382827 0.19300060 1.429001e-01
## 228 0.095306649 0.11258368 8.335841e-02
## 229 1.671270164 1.97423528 1.461749e+00
## 230 0.452706582 0.53477249 3.959525e-01
## 231 0.607579887 0.71772097 5.314099e-01
## 232 0.422072302 0.49858488 3.691587e-01
## 233 0.260391380 0.30759470 2.277471e-01
## 234 0.878182693 1.03737821 7.680882e-01
## 235 0.673954160 0.79612747 5.894631e-01
## 236 0.500359907 0.59106433 4.376317e-01
## 237 0.464619913 0.54884545 4.063723e-01
## 238 0.032336184 0.03819803 2.828232e-02
## 239 0.064672369 0.07639607 5.656464e-02
## 240 0.115729502 0.13670876 1.012209e-01
## 241 0.091902840 0.10856284 8.038133e-02
## 242 0.064672369 0.07639607 5.656464e-02
## 243 0.115729502 0.13670876 1.012209e-01
## 244 0.040845707 0.04825015 3.572503e-02
## 245 0.190613298 0.22516736 1.667168e-01
## 246 0.401649449 0.47445980 3.512962e-01
## 247 0.308044704 0.36388654 2.694263e-01
## 248 4.433461077 5.23715164 3.877655e+00
## 249 0.217843769 0.25733413 1.905335e-01
## 250 0.830529369 0.98108637 7.264090e-01
## 251 4.933820983 5.82821597 4.315286e+00
## 252 2.355435751 2.78242528 2.060144e+00
## 253 0.725011293 0.85644015 6.341194e-01
## 254 0.100412362 0.11861495 8.782404e-02
## 255 0.156575209 0.18495891 1.369460e-01
## 256 1.084113131 1.28063938 9.482019e-01
## 257 2.397983362 2.83268586 2.097357e+00
## 258 0.137854260 0.16284425 1.205720e-01
## 259 0.222949482 0.26336540 1.949991e-01
## 260 NA NA 1.403265e+02
## 261 NA NA 1.107468e+02
## 262 NA NA 3.009977e+02
## 263 NA NA 2.542010e+01
## 264 NA NA 7.900259e+01
## 265 NA NA 2.018404e+02
## 266 NA NA 9.415342e+01
## 267 NA NA 6.409342e+01
## 268 NA NA 1.094787e+02
## 269 NA NA 1.033016e+02
## 270 NA NA 2.664094e+02
## 271 NA NA 7.576882e+02
## 272 NA NA 1.214827e+02
## 273 NA NA 6.642753e+01
## 274 NA NA 3.511466e+02
## 275 NA NA 2.641502e+01
## 276 NA NA 0.000000e+00
## 277 NA NA 7.335910e+01
## 278 NA NA 2.873367e+01
## 279 NA NA 5.112907e+01
## 280 NA NA 1.484014e+02
## 281 NA NA 1.254713e+02
## 282 NA NA 5.181603e+01
## 283 NA NA 3.085274e+02
## 284 NA NA 9.768344e+01
## 285 NA NA 5.496375e+02
## 286 NA NA 9.650673e+01
## 287 NA NA 3.820210e+01
## 288 NA NA 1.445771e+03
## 289 NA NA 9.121724e+01
## 290 NA NA 8.917915e+01
## 291 NA NA 6.501963e+01
## 292 NA NA 1.728881e+02
## 293 NA NA 1.418136e+02
## 294 NA NA 7.599107e+02
## 295 NA NA 2.550508e+02
## 296 NA NA 4.041340e+01
## 297 NA NA 2.488124e+02
## 298 NA NA 1.354969e+02
## 299 NA NA 6.461844e+01
## 300 NA NA 1.079846e+02
## 301 NA NA 1.756799e+02
## 302 NA NA 4.021637e+02
## 303 NA NA 1.349807e+02
## 304 NA NA 1.147336e+02
## 305 NA NA 2.059565e+02
## 306 NA NA 2.123148e+02
## 307 NA NA 1.119509e+02
## 308 NA NA 1.792913e+026.0.0.0.1.1 EXPORT FINAL DATASET
write.csv(sensitivity,
"output/data/final_aligned_dataset.csv"
)###Export table showing correction factors
CF_table <- sensitivity %>%
group_by(Sampling.apparatus, matrix) %>%
summarize(mesh_size = mean(x1M),
CF = round(mean(CF),2),
CF.lower.95 = round(mean(CF.lower.95),2),
CF.upper.95 = round(mean(CF.upper.95),2))
write.csv(CF_table,
"output/data/CF_table.csv")
CF_table## # A tibble: 6 x 6
## # Groups: Sampling.apparatus [6]
## Sampling.apparatus matrix mesh_size CF CF.lower.95 CF.upper.95
## <fct> <chr> <dbl> <dbl> <dbl> <dbl>
## 1 1-L grab Surface (1L-~ 50 50.5 38.5 62.5
## 2 Composite WWTP 110 17.0 13.6 20.4
## 3 depth-integrated perisa~ Storm 106 59.9 57.6 62.2
## 4 Manta Trawl Surface (Man~ 333 357. 211. 502.
## 5 otter trawl/cast net Fish 25 11.4 8.31 14.4
## 6 Van Veen Grab Sediment 45 66.2 52.0 80.56.0.1 RSD
sensitivity %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
dplyr::select(c(CF.rsd,
proportion.rsd,
fiber.correction.rsd,
combined.rsd,
sampleID)) %>%
summarize(CF.rsd = mean(CF.rsd), proportion.rsd = mean(proportion.rsd), fiber.correction.rsd = mean(fiber.correction.rsd), combined.rsd = mean(combined.rsd))## CF.rsd proportion.rsd fiber.correction.rsd combined.rsd
## 1 1.000031 0.3229184 0.3031438 1.0937256.0.2 Comparison of Sensitivities
6.0.2.1 Matrix of uncertainties for corrections
correction_factors <- data.frame(factor = c("fiber", "plastic", "size", "combined"),
percentile.5th = c(fiber5, plastic5, CF5, combined.corrections5),
median = c(fiber50, plastic50, CF50, combined.corrections50),
percentile.95th = c(fiber95, plastic95, CF95, combined.corrections95))
correction_factors## factor percentile.5th median percentile.95th
## 1 fiber 1.1905934 8.9109466 5.197383e+01
## 2 plastic 0.3043084 0.6327774 9.469945e-01
## 3 size 91.3531930 354.9395184 1.490064e+03
## 4 combined 157.8107266 1856.1636686 1.930671e+04sfBay_aligned_sensitivity <- sfBay_aligned %>%
## hold everything constant except one variable
mutate(fiber5.sensitivity = fiber5 * plastic50 * CF50,
fiber95.sensitivity = fiber95 * plastic50 * CF50,
plastic5.sensitivity = fiber50 * plastic5 * CF50,
plastic95.sensitivity = fiber50 * plastic95 * CF50,
CF5.sensitivity = fiber50 * plastic50 * CF5,
CF95.sensitivity = fiber50 * plastic50 * CF95) %>%
#multiply blank-corrected particles by correction factors
mutate(conc.fiber.05 = particles.L.blank.corrected * fiber5.sensitivity,
conc.fiber.95 = particles.L.blank.corrected * fiber95.sensitivity,
conc.plastic.05 = particles.L.blank.corrected * plastic5.sensitivity,
conc.plastic.95 = particles.L.blank.corrected * plastic95.sensitivity,
conc.CF.05 = particles.L.blank.corrected * CF5.sensitivity,
conc.CF.95 = particles.L.blank.corrected * CF95.sensitivity,
conc.combined.05 = particles.L.blank.corrected * combined.corrections5,
conc.combined.95 = particles.L.blank.corrected * combined.corrections95)#prep rest
wide.sensitivity.exceedances <- sfBay_aligned_sensitivity %>%
# remove non-bay samples
filter(!locationNew %in% c("National Marine Sanctuary")) %>%
# only manta trawl
filter(Sampling.apparatus == "Manta Trawl") %>%
dplyr::select(c(particle.L.master.50,
conc.combined.05, conc.combined.95, #combined
conc.plastic.05, conc.plastic.95, #proportions only
conc.fiber.05, conc.fiber.95, #fiber corrections only
conc.CF.05, conc.CF.95, #alignment only
sampleID)) %>%
pivot_longer(-c(sampleID), names_to = "factor", values_to = "conc") %>%
mutate(variable = case_when(
grepl("plastic", factor) ~ "plastic proportion",
grepl("combined", factor) ~ "combined alignments and corrections",
grepl("fiber", factor) ~ "fiber correction",
grepl("CF", factor) ~ "size alignment",
factor == "particle.L.master.50" ~ "median")) %>%
mutate(interval = case_when(
grepl("05", factor) ~ "lower",
grepl("95", factor) ~ "upper",
variable == "median" ~ "median"
)) %>%
## compare to thresholds
group_by(variable, interval) %>%
summarize(n = n(),
belowThreshold1 = sum(conc < Threshold1_food),
aboveThreshold1 = sum(conc > Threshold1_food),
aboveThreshold2 = sum(conc > Threshold2_food),
aboveThreshold3 = sum(conc > Threshold3_food),
aboveThreshold4 = sum(conc > Threshold4_food)) %>%
mutate(percent.above.threshold1 = aboveThreshold1 / n) %>%
pivot_wider(c(variable, interval, percent.above.threshold1), names_from = interval, values_from = percent.above.threshold1)
#get median
median <- wide.sensitivity.exceedances$median[3]
wide.sensitivity.exceedances.prep <- wide.sensitivity.exceedances %>%
filter(variable != "median") %>%
#arrange(desc(lower)) %>%
mutate(name = factor(factor(variable),
levels = c("combined alignments and corrections", "fiber correction", "size alignment", "plastic proportion")))
####plot####
## Break axis ##
#ide.sensitivity.exceedances.prep$facet <- wide.sensitivity.exceedances.prep$upper < 0.5
sensitivity.figure <- wide.sensitivity.exceedances.prep %>%
ggplot() +
geom_errorbarh(aes(y = name, xmin = lower, xmax = upper),
na.rm = TRUE) +
geom_vline(xintercept = median, linetype = "dashed", color = "red", size = 1.2) +
scale_y_discrete(labels = c("combined alignments \n and corrections", "fiber correction", "size alignment", "plastic proportion")) +
# facet_grid(. ~ facet, scales = "free", space = "free") +
scale_x_continuous(name = "Percentage of All SF Bay Manta Trawl Samples \n Exceeding Food Dilution Threshold One (+- 95% CI)",
labels = scales::percent_format(scale = 100, accuracy= 1),
limits = c(0,1.0)) +
ylab("Corrections/Alignments") +
theme.type
sensitivity.figure 
ggsave(plot = sensitivity.figure,
filename = "sensitivity.figure.jpeg",
path = "output/figures/",
width = 8, height = 6, units = "in",
bg = "white",
dpi = 300)6.0.2.2 Compare to thresholds
6.0.2.2.1 All surface water samples
#count samples
surface.count <- sensitivity %>%
filter(!str_detect(sampleID, "DUP")) %>%
filter(!str_detect(sampleID, "blank")) %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
summarize(n())
sensitivity.analysis <- sensitivity %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
#just select concentrations
dplyr::select(c(particle.L.master.50,
particle.L.master.05,
particle.L.master.95,
particle.L.master.25,
particle.L.master.75
#Conc,
#conc.upper.68,
#conc.upper.95,
#conc.upper.99, conc.lower.68,
#conc.lower.95#,
#conc.lower.99
)) %>%
#make long data
pivot_longer(everything()) %>%
mutate(aboveThreshold = factor(case_when(
value < Threshold1_food ~ "below Threshold 1",
value >= Threshold1_food & value < Threshold2_food ~ "above Threshold 1",
value >= Threshold2_food & value < Threshold3_food ~ "above Threshold 2",
value >= Threshold3_food & value < Threshold4_food ~ "above Threshold 3",
value >= Threshold4_food ~ "above Threshold 4"
))) %>%
group_by(aboveThreshold, name) %>%
dplyr::summarize(n = n()) %>%
mutate(rel.freq = paste0(round(100 *(n/surface.count[1,]),1),"%")) %>%
pivot_wider(names_from = "name", values_from = c("n", "rel.freq")) %>%
mutate(aboveThreshold = factor(aboveThreshold, levels = c("below Threshold 1", "above Threshold 1", "above Threshold 2", "above Threshold 3", "above Threshold 4"))) %>%
arrange(aboveThreshold)
sensitivity.analysis ## # A tibble: 6 x 11
## # Groups: aboveThreshold [6]
## aboveThreshold n_particle.L.master.05 n_particle.L.mast~ n_particle.L.mast~
## <fct> <int> <int> <int>
## 1 below Threshold 1 52 43 31
## 2 above Threshold 1 5 13 21
## 3 above Threshold 2 NA 1 3
## 4 above Threshold 3 1 NA 5
## 5 above Threshold 4 NA 1 47
## 6 <NA> 49 49 NA
## # ... with 7 more variables: n_particle.L.master.75 <int>,
## # n_particle.L.master.95 <int>, rel.freq_particle.L.master.05 <chr>,
## # rel.freq_particle.L.master.25 <chr>, rel.freq_particle.L.master.50 <chr>,
## # rel.freq_particle.L.master.75 <chr>, rel.freq_particle.L.master.95 <chr>6.0.2.2.1.1 EXPORT EXCEEDANCES
write.csv(sensitivity.analysis ,
"output/data/surface_water_exceedances_sensitivity_analysis.csv"
)6.0.2.2.1.2 Sensitivity Plot
#ECDF by System
sfBayECDF_sensitivity <- sfBay_aligned %>%
# remove non-bay samples
filter(!locationNew %in% c("National Marine Sanctuary")) %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
filter(particle.L.master > 0) %>%
#just select concentrations
#dplyr::select(c(Conc, conc.combined.upper.95, conc.combined.lower.95)) %>%
dplyr::select(c(particle.L.master.50,
particle.L.master.05,
particle.L.master.95,
particle.L.master.25,
particle.L.master.75)) %>%
#make long data
pivot_longer(everything()) %>%
mutate(name = as.factor(name)) %>%
mutate(percentile = case_when(grepl("50", name) ~ "50th Percentile",
grepl("95", name) ~ "95th Percentile",
grepl("25", name) ~ "25th Percentile",
grepl("05", name) ~ "5th Percentile",
grepl("75", name) ~ "75th Percentile",
name == "Conc" ~ "Mean")) %>%
ggplot() +
# stat_ecdf(aes(x = value, color = name),
# geom = "point", size = 1, alpha = 0.5) +
stat_ecdf(aes(x = value, color = percentile),geom = "step", linetype = 'solid', alpha = 1, size = 1) +
#color
scale_color_manual(name = "Probabilistic Uncertainty",
values = c("5th Percentile" = "#8cd3ff",
"25th Percentile" = "#05619c",
"50th Percentile" = "#012740",
"75th Percentile" = "#05619c",
"95th Percentile" = "#8cd3ff"
),
labels = c("5th Percentile",
"25th Percentile",
"50th Percentile",
"75th Percentile",
"95th Percentile"
)) +
# ##Food Dilution thresholds #
geom_vline(xintercept = Threshold1_food, linetype = 'dashed', color = "#fcc523", size = 1.5) +
geom_text(label = "Threshold One", color = "#fcc523" , x = Threshold1_food, y = 0.10, size = 6)+
geom_vline(xintercept = Threshold2_food, linetype = 'dashed', color = "#bf8345", size = 1.5) +
geom_text(label = "Threshold Two", color = "#bf8345" , x = Threshold2_food, y = 0.20, size = 6)+
geom_vline(xintercept = Threshold3_food, linetype = 'dashed', color = "#e06665", size = 1.5) +
geom_text(label = "Threshold Three", color = "#e06665" , x = Threshold3_food, y = 0.30, size = 6)+
geom_vline(xintercept = Threshold4_food, linetype = 'dashed', color = "#ac5784", size = 1.5) +
geom_text(label = "Threshold Four", color = "#ac5784", x = Threshold4_food, y = 0.40, size = 6)+
## Food dilution 95% CI's ##
# geom_vline(xintercept = Threshold2_food_lcl, linetype = 'dashed', color = "#ebbb38", size = 1) +
# geom_vline(xintercept = Threshold2_food_hcl, linetype = 'dashed', color = "#ebbb38", size = 1) +
# geom_vline(xintercept = Threshold3_food_lcl, linetype = 'dashed', color = "#fd8060", size = 1.5) +
# geom_vline(xintercept = Threshold3_food_hcl, linetype = 'dashed', color = "#fd8060", size = 1.5) +
# geom_vline(xintercept = Threshold4_food_lcl, linetype = 'dashed', color = "#E84258", size = 1.5) +
# geom_vline(xintercept = Threshold4_food_hcl, linetype = 'dashed', color = "#E84258", size = 1.5) +
#### Tissue Translocation Thresholds ####
# geom_vline(xintercept = Threshold1_oxidative.stress, linetype = 'dashed', color = "#85a17d", size = 1.5) +
# geom_text(label = "oxidative.stress Dilution T1", color = "#85a17d" , x = Threshold1_oxidative.stress, y = 0.10, size = 6)+
# geom_vline(xintercept = Threshold2_oxidative.stress, linetype = 'dashed', color = "#ebbb38", size = 1.5) +
# geom_text(label = "oxidative.stress Dilution T2", color = "#ebbb38" , x = Threshold2_oxidative.stress, y = 0.15, size = 6)+
# geom_vline(xintercept = Threshold3_oxidative.stress, linetype = 'dashed', color = "#fd8060", size = 1.5) +
# geom_text(label = "oxidative.stress Dilution T3", color = "#fd8060" , x = Threshold3_oxidative.stress, y = 0.20, size = 6)+
# geom_vline(xintercept = Threshold4_oxidative.stress, linetype = 'dashed', color = "#E84258", size = 1.5) +
# geom_text(label = "oxidative.stress Dilution T4", color = "#E84258", x = Threshold4_oxidative.stress, y = 0.25, size = 6)+
## Food dilution 95% CI's ribbons ##
#annotate("rect", xmin = Threshold2_food_lcl, xmax = Threshold2_food_hcl, ymin = 0, ymax = 1, fill = "#fd8060", alpha = 0.2, color = "#fd8060", linetype = "dotted")+
#annotate("rect", xmin = Threshold3_food_lcl, xmax = Threshold3_food_hcl, ymin = 0, ymax = 1, fill = "#fd8060", alpha = 0.2)+
# annotate("rect", xmin = Threshold4_food_lcl, xmax = Threshold4_food_hcl, ymin = 0, ymax = 1, fill = "#E84258", alpha = 0.2,
# color = "#fd8060", linetype = "dotted")+
ylab("Cumulative Density") +
xlab("Surface Water Particles/L (aligned to 1 to 5,000 µm)") +
#xlab(paste0("Particles/L (" ,x1D_set, " to ", x2D_set, "um)"))+
scale_y_continuous(labels = scales::percent)+
coord_trans(x = "log10") +
scale_x_continuous(#breaks = scales::trans_breaks("log10", function(x) 10^x,n = 10),
breaks = c(0.001, 0.005, 0.01, 0.05, 0.1, 0.5, 1, 5, 10, 50, 100),
labels = comma_signif,
limits = c(1e-3,100))+
annotation_logticks(scaled = FALSE)+ #log scale rick marks on bottom
theme.type +
theme(legend.title = element_blank(),
legend.position = c(0.1,0.6),
legend.key.size = unit(0.6, 'cm'))
#labs(title = "Global Surface Water Marine Microplastics Concentrations",
# subtitle = paste("Particles/L corrected to:",x1D_set, "to", x2D_set, "um"),
# caption = paste("Concentration data from Adams et al (2019): 23 studies, 57 sampling locations, n = 377; corrected for size ranges. Alpha = ",alpha))
sfBayECDF_sensitivity
ggsave(plot = sfBayECDF_sensitivity,
filename = "sfBayECDF_sensitivity.jpeg",
path = "output/figures/",
width = 10, height = 6, units = "in",
bg = "white",
dpi = 300)6.0.2.2.2 MANTA only
#####Food Dilution
#count samples
manta.count <- sfBay_aligned %>%
filter(!str_detect(sampleID, "DUP")) %>%
filter(!str_detect(sampleID, "blank")) %>%
# remove non-bay samples
filter(!locationNew %in% c("National Marine Sanctuary")) %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
summarize(n())
sensitivity.analysis.manta_inter <- sfBay_aligned %>%
filter(!str_detect(sampleID, "DUP")) %>%
filter(!str_detect(sampleID, "blank")) %>%
# remove non-bay samples
filter(!locationNew %in% c("National Marine Sanctuary")) %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
#just select concentrations
dplyr::select(c(particle.L.master.50,
particle.L.master.05,
particle.L.master.95,
particle.L.master.25,
particle.L.master.75
)) %>%
#make long data
pivot_longer(everything(),names_to = "alignment", values_to = "conc") %>%
#mutate(alignment = factor(alignment)) %>%
group_by(alignment) %>%
summarize(n = n(),
belowThreshold1 = sum(conc < Threshold1_food),
aboveThreshold1 = sum(conc > Threshold1_food),
aboveThreshold2 = sum(conc > Threshold2_food),
aboveThreshold3 = sum(conc > Threshold3_food),
aboveThreshold4 = sum(conc > Threshold4_food))
#transpose
t_sensitivity.analysis.manta <- data.table::transpose(sensitivity.analysis.manta_inter)
# get row and colnames in order
colnames(t_sensitivity.analysis.manta) <- rownames(sensitivity.analysis.manta_inter)
rownames(t_sensitivity.analysis.manta) <- colnames(sensitivity.analysis.manta_inter)
t_2 <- t_sensitivity.analysis.manta %>% janitor::row_to_names(row_number = 1)
rownames(t_2) <- colnames(sensitivity.analysis.manta_inter[-1])
sensitivity.analysis.manta_t2 <- t_2 %>% tibble::rownames_to_column("aboveThreshold")
sensitivity.analysis.manta <- sensitivity.analysis.manta_t2 %>%
filter(!aboveThreshold == "n") %>%
mutate_at(c(2:6), as.numeric) %>%
mutate(particle.L.master.05.percent = particle.L.master.05 / manta.count[1,],
particle.L.master.25.percent = particle.L.master.25 / manta.count[1,],
particle.L.master.50.percent = particle.L.master.50 / manta.count[1,],
particle.L.master.75.percent = particle.L.master.75 / manta.count[1,],
particle.L.master.95.percent = particle.L.master.95 / manta.count[1,]) %>%
#pretty formatting
mutate(percentages = paste0( round(100 * particle.L.master.50.percent,0),
"% (",
round( 100 * particle.L.master.05.percent, 0),
"% to ",
round(100 * particle.L.master.95.percent, 0),
"%)")) %>%
#pretty formatting
mutate(numbers = paste0(round(particle.L.master.50),
" (",
round(particle.L.master.05, 2),
" to ",
round(particle.L.master.95, 2),
")"))
sensitivity.analysis.manta## aboveThreshold particle.L.master.05 particle.L.master.25
## 1 belowThreshold1 27 19
## 2 aboveThreshold1 6 14
## 3 aboveThreshold2 1 2
## 4 aboveThreshold3 1 1
## 5 aboveThreshold4 0 1
## particle.L.master.50 particle.L.master.75 particle.L.master.95
## 1 10 2 0
## 2 23 31 33
## 3 7 12 24
## 4 4 9 20
## 5 1 1 7
## particle.L.master.05.percent particle.L.master.25.percent
## 1 0.81818182 0.57575758
## 2 0.18181818 0.42424242
## 3 0.03030303 0.06060606
## 4 0.03030303 0.03030303
## 5 0.00000000 0.03030303
## particle.L.master.50.percent particle.L.master.75.percent
## 1 0.30303030 0.06060606
## 2 0.69696970 0.93939394
## 3 0.21212121 0.36363636
## 4 0.12121212 0.27272727
## 5 0.03030303 0.03030303
## particle.L.master.95.percent percentages numbers
## 1 0.0000000 30% (82% to 0%) 10 (27 to 0)
## 2 1.0000000 70% (18% to 100%) 23 (6 to 33)
## 3 0.7272727 21% (3% to 73%) 7 (1 to 24)
## 4 0.6060606 12% (3% to 61%) 4 (1 to 20)
## 5 0.2121212 3% (0% to 21%) 1 (0 to 7)6.0.2.2.2.1 EXPORT EXCEEDANCES
write.csv(sensitivity.analysis.manta,
"output/data/surface_water_exceedances_sensitivity_analysis_manta.csv"
)#####Tissue Translocation
#count samples
manta.count <- sfBay_aligned %>%
filter(!str_detect(sampleID, "DUP")) %>%
filter(!str_detect(sampleID, "blank")) %>%
# remove non-bay samples
filter(!locationNew %in% c("National Marine Sanctuary")) %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
summarize(n())
sensitivity.analysis.manta.oxidative_inter <- sfBay_aligned %>%
# remove non-bay samples
filter(!locationNew %in% c("National Marine Sanctuary")) %>%
filter(!str_detect(sampleID, "DUP")) %>%
filter(!str_detect(sampleID, "blank")) %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
dplyr::select(c(particle.L.master.50,
particle.L.master.05,
particle.L.master.95,
particle.L.master.25,
particle.L.master.75
)) %>%
#make long data
pivot_longer(everything(),names_to = "alignment", values_to = "conc") %>%
#mutate(alignment = factor(alignment)) %>%
group_by(alignment) %>%
summarize(n = n(),
belowThreshold1 = sum(conc < Threshold1_oxidative.stress),
aboveThreshold1 = sum(conc > Threshold1_oxidative.stress),
aboveThreshold2 = sum(conc > Threshold2_oxidative.stress),
aboveThreshold3 = sum(conc > Threshold3_oxidative.stress),
aboveThreshold4 = sum(conc > Threshold4_oxidative.stress))
#transpose
t_sensitivity.analysis.manta.oxidative <- data.table::transpose(sensitivity.analysis.manta.oxidative_inter)
# get row and colnames in order
colnames(t_sensitivity.analysis.manta.oxidative) <- rownames(sensitivity.analysis.manta.oxidative_inter)
rownames(t_sensitivity.analysis.manta.oxidative) <- colnames(sensitivity.analysis.manta.oxidative_inter)
t_2 <- t_sensitivity.analysis.manta.oxidative %>% janitor::row_to_names(row_number = 1)
rownames(t_2) <- colnames(sensitivity.analysis.manta.oxidative_inter[-1])
sensitivity.analysis.manta.oxidative_t2 <- t_2 %>% tibble::rownames_to_column("aboveThreshold")
sensitivity.analysis.manta.oxidative <- sensitivity.analysis.manta.oxidative_t2 %>%
filter(!aboveThreshold == "n") %>%
mutate_at(c(2:6), as.numeric) %>%
mutate(particle.L.master.50.percent = particle.L.master.50 / manta.count[1,],
particle.L.master.05.percent = particle.L.master.05 / manta.count[1,],
particle.L.master.95.percent = particle.L.master.95 / manta.count[1,]) %>%
#pretty formatting
mutate(percentages = paste0( round(100 * particle.L.master.50.percent,0),
"% (",
round( 100 * particle.L.master.05.percent, 0),
"% to ",
round(100 * particle.L.master.95.percent, 0),
"%)")) %>%
#pretty formatting
mutate(numbers = paste0(round(particle.L.master.50),
" (",
round(particle.L.master.05, 2),
" to ",
round(particle.L.master.95, 2),
")"))
sensitivity.analysis.manta.oxidative## aboveThreshold particle.L.master.05 particle.L.master.25
## 1 belowThreshold1 33 33
## 2 aboveThreshold1 0 0
## 3 aboveThreshold2 0 0
## 4 aboveThreshold3 0 0
## 5 aboveThreshold4 0 0
## particle.L.master.50 particle.L.master.75 particle.L.master.95
## 1 32 32 30
## 2 1 1 3
## 3 0 0 1
## 4 0 0 1
## 5 0 0 0
## particle.L.master.50.percent particle.L.master.05.percent
## 1 0.96969697 1
## 2 0.03030303 0
## 3 0.00000000 0
## 4 0.00000000 0
## 5 0.00000000 0
## particle.L.master.95.percent percentages numbers
## 1 0.90909091 97% (100% to 91%) 32 (33 to 30)
## 2 0.09090909 3% (0% to 9%) 1 (0 to 3)
## 3 0.03030303 0% (0% to 3%) 0 (0 to 1)
## 4 0.03030303 0% (0% to 3%) 0 (0 to 1)
## 5 0.00000000 0% (0% to 0%) 0 (0 to 0)6.0.2.2.2.2 EXPORT EXCEEDANCES
write.csv(sensitivity.analysis.manta.oxidative ,
"output/data/surface_water_exceedances_sensitivity_analysis_manta_oxidative.csv"
)6.0.2.2.3 Bar Plots
barplot <- sensitivity.analysis.manta %>%
# replace_na(list(rel.freq_Conc = 0,
# rel.freq_conc.lower.95 = 0,
# rel.freq_conc.upper.95 = 0)) %>%
mutate(frequency = as.numeric(particle.L.master.50.percent)) %>%
mutate(frequency_lower = as.numeric(particle.L.master.05.percent)) %>%
mutate(frequency.25 = as.numeric(particle.L.master.25.percent)) %>%
mutate(frequency.75 = as.numeric(particle.L.master.75.percent)) %>%
mutate(frequency_upper = as.numeric(particle.L.master.95.percent)) %>%
mutate(threshold = case_when(aboveThreshold == "belowThreshold1" ~ "< Threshold One",
aboveThreshold == "aboveThreshold1" ~ "> Threshold One",
aboveThreshold == "aboveThreshold2" ~ "> Threshold Two",
aboveThreshold == "aboveThreshold3" ~ "> Threshold Three",
aboveThreshold == "aboveThreshold4" ~ "> Threshold Four")) %>%
ggplot(aes(x = factor(threshold, level = c("< Threshold One",
"> Threshold One",
"> Threshold Two",
"> Threshold Three",
"> Threshold Four")))) +
geom_col(aes(y = frequency, fill = threshold)) +
#95th
geom_errorbar(aes(ymin = frequency_lower, ymax = frequency_upper),
linetype = "dashed", width = 1.0, alpha = 0.7) +
#25th and 75th percetnile
geom_errorbar(aes(ymin = frequency.25, ymax = frequency.75),
linetype = "solid", width = 0.5, alpha = 1) +
scale_y_continuous(limits = c(0,1),
labels = scales::percent) +
scale_fill_manual(values = c("< Threshold One" = "#b6d7a8", #green
"> Threshold One" = "#fcc523", #yellow
"> Threshold Two" = "#bf8345", #orange
"> Threshold Three" = "#e06665", # red
"> Threshold Four" = "#ac5784" #purple
)) +
coord_flip() +
ylab("Percentage of Samples Exceeding Threshold") +
theme.type +
theme(axis.title.y = element_blank(),
axis.text.y = element_text(color = c("#90ab85", #green
"#fcc523", #yellow
"#bf8345", #orange
"#e06665", # red
"#ac5784" #purple
),
face = "bold",
size = 18),
legend.position = "none"
)
barplot
6.0.2.2.3.1 ARRANGE
bar_cdf <- ggarrange(barplot, sfBayECDF_sensitivity,
nrow = 2,
labels = c("A", "B"))
bar_cdf
ggsave(plot = bar_cdf,
filename = "bar_cdf.jpeg",
path = "output/figures/",
width = 10, height = , units = "in",
bg = "white",
dpi = 300)6.0.2.3 Group-by Location
6.0.2.3.1 Food Dilution
6.0.2.3.1.1 MANTA only
#count samples
manta.count.location <- sensitivity %>%
filter(!str_detect(sampleID, "DUP")) %>%
filter(!str_detect(sampleID, "blank")) %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
group_by(locationNew) %>%
summarize(total = n())
manta.count.location## # A tibble: 5 x 2
## locationNew total
## <fct> <int>
## 1 Central Bay 12
## 2 general 7
## 3 Lower South Bay 6
## 4 National Marine Sanctuary 23
## 5 South Bay 8sensitivity.analysis.location_inter <- sfBay_aligned %>%
filter(!str_detect(sampleID, "DUP")) %>%
filter(!str_detect(sampleID, "blank")) %>%
# remove non-bay samples
#filter(!locationNew %in% c("National Marine Sanctuary")) %>%
#fix-up names to match probabilistic values
dplyr::select(-Conc) %>%
rename(Conc = particle.L.master.50,
conc.combined.upper.95 = particle.L.master.95,
conc.combined.lower.95 = particle.L.master.05) %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
#just select concentrations
dplyr::select(c(Conc, #conc.upper.68,
conc.combined.upper.95,
#conc.upper.99, conc.lower.68,
conc.combined.lower.95,
#conc.lower.99,
locationNew)) %>%
#make long data
pivot_longer(starts_with("conc"), names_to = "alignment", values_to = "conc") %>%
#pivot_longer(-c(locationNew),names_to = "alignment", values_to = "conc") %>%
#mutate(alignment = factor(alignment)) %>%
group_by(alignment, locationNew) %>%
summarize(n = n(),
belowThreshold1 = sum(conc < Threshold1_food),
aboveThreshold1 = sum(conc > Threshold1_food),
aboveThreshold2 = sum(conc > Threshold2_food),
aboveThreshold3 = sum(conc > Threshold3_food),
aboveThreshold4 = sum(conc > Threshold4_food))
#transpose
t_sensitivity.analysis.location <- data.table::transpose(sensitivity.analysis.location_inter)
# get row and colnames in order
colnames(t_sensitivity.analysis.location) <- rownames(sensitivity.analysis.location_inter)
rownames(t_sensitivity.analysis.location) <- colnames(sensitivity.analysis.location_inter)
t_2 <- t_sensitivity.analysis.location %>% janitor::row_to_names(row_number = 1)
rownames(t_2) <- colnames(sensitivity.analysis.location_inter[-1])
sensitivity.analysis.location_t2 <- t_2 %>% tibble::rownames_to_column("aboveThreshold")
sensitivity.analysis.location <- sensitivity.analysis.location_t2# %>%
#filter(!aboveThreshold == "n") %>%
# mutate_at(c(2:4), as.numeric) %>%
#mutate(Conc.percent = Conc / manta.count[1,],
# conc.lower.95.percent = conc.lower.95 / manta.count[1,],
# conc.upper.95.percent = conc.upper.95 / manta.count[1,])
sensitivity.analysis.location## aboveThreshold Conc Conc.1 Conc.2 Conc.3
## 1 locationNew Central Bay general Lower South Bay National Marine Sanctuary
## 2 n 12 7 6 23
## 3 belowThreshold1 2 4 1 19
## 4 aboveThreshold1 10 3 5 4
## 5 aboveThreshold2 5 0 0 0
## 6 aboveThreshold3 3 0 0 0
## 7 aboveThreshold4 1 0 0 0
## Conc.4 conc.combined.lower.95 conc.combined.lower.95.1
## 1 South Bay Central Bay general
## 2 8 12 7
## 3 3 8 7
## 4 5 4 0
## 5 2 1 0
## 6 1 1 0
## 7 0 0 0
## conc.combined.lower.95.2 conc.combined.lower.95.3 conc.combined.lower.95.4
## 1 Lower South Bay National Marine Sanctuary South Bay
## 2 6 23 8
## 3 6 23 6
## 4 0 0 2
## 5 0 0 0
## 6 0 0 0
## 7 0 0 0
## conc.combined.upper.95 conc.combined.upper.95.1 conc.combined.upper.95.2
## 1 Central Bay general Lower South Bay
## 2 12 7 6
## 3 0 0 0
## 4 12 7 6
## 5 10 3 5
## 6 9 3 4
## 7 5 0 0
## conc.combined.upper.95.3 conc.combined.upper.95.4
## 1 National Marine Sanctuary South Bay
## 2 23 8
## 3 2 0
## 4 21 8
## 5 5 6
## 6 3 4
## 7 0 26.0.2.3.1.2 EXPORT EXCEEDANCES
write.csv(sensitivity.analysis.location ,
"output/data/sensitivity.analysis.location.csv"
)6.0.2.3.2 Oxidative Stress
6.0.2.3.2.1 MANTA only
#count samples
manta.count.location <- sensitivity %>%
filter(!str_detect(sampleID, "DUP")) %>%
filter(!str_detect(sampleID, "blank")) %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
group_by(locationNew) %>%
summarize(total = n())
manta.count.location## # A tibble: 5 x 2
## locationNew total
## <fct> <int>
## 1 Central Bay 12
## 2 general 7
## 3 Lower South Bay 6
## 4 National Marine Sanctuary 23
## 5 South Bay 8sensitivity.analysis.location_inter <- sfBay_aligned %>%
filter(!str_detect(sampleID, "DUP")) %>%
filter(!str_detect(sampleID, "blank")) %>%
#fix-up names to match probabilistic values
dplyr::select(-Conc) %>%
rename(Conc = particle.L.master.50,
conc.combined.upper.95 = particle.L.master.95,
conc.combined.lower.95 = particle.L.master.05) %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
#just select concentrations
dplyr::select(c(Conc, #conc.upper.68,
conc.combined.upper.95,
#conc.upper.99, conc.lower.68,
conc.combined.lower.95,
#conc.lower.99,
locationNew)) %>%
#make long data
pivot_longer(starts_with("conc"), names_to = "alignment", values_to = "conc") %>%
#pivot_longer(-c(locationNew),names_to = "alignment", values_to = "conc") %>%
#mutate(alignment = factor(alignment)) %>%
group_by(alignment, locationNew) %>%
summarize(n = n(),
belowThreshold1 = sum(conc < Threshold1_oxidative.stress),
aboveThreshold1 = sum(conc > Threshold1_oxidative.stress),
aboveThreshold2 = sum(conc > Threshold2_oxidative.stress),
aboveThreshold3 = sum(conc > Threshold3_oxidative.stress),
aboveThreshold4 = sum(conc > Threshold4_oxidative.stress))
#transpose
t_sensitivity.analysis.location <- data.table::transpose(sensitivity.analysis.location_inter)
# get row and colnames in order
colnames(t_sensitivity.analysis.location) <- rownames(sensitivity.analysis.location_inter)
rownames(t_sensitivity.analysis.location) <- colnames(sensitivity.analysis.location_inter)
t_2 <- t_sensitivity.analysis.location %>% janitor::row_to_names(row_number = 1)
rownames(t_2) <- colnames(sensitivity.analysis.location_inter[-1])
sensitivity.analysis.location_t2 <- t_2 %>% tibble::rownames_to_column("aboveThreshold")
sensitivity.analysis.manta.location.oxidative <- sensitivity.analysis.location_t2 %>%
filter(!aboveThreshold == "n")# %>%
# mutate_at(c(2:4), as.numeric) %>%
#mutate(Conc.percent = Conc / manta.count[1,],
# conc.lower.95.percent = conc.lower.95 / manta.count[1,],
# conc.upper.95.percent = conc.upper.95 / manta.count[1,])
sensitivity.analysis.manta.location.oxidative## aboveThreshold Conc Conc.1 Conc.2 Conc.3
## 1 locationNew Central Bay general Lower South Bay National Marine Sanctuary
## 2 belowThreshold1 11 7 6 23
## 3 aboveThreshold1 1 0 0 0
## 4 aboveThreshold2 0 0 0 0
## 5 aboveThreshold3 0 0 0 0
## 6 aboveThreshold4 0 0 0 0
## Conc.4 conc.combined.lower.95 conc.combined.lower.95.1
## 1 South Bay Central Bay general
## 2 8 12 7
## 3 0 0 0
## 4 0 0 0
## 5 0 0 0
## 6 0 0 0
## conc.combined.lower.95.2 conc.combined.lower.95.3 conc.combined.lower.95.4
## 1 Lower South Bay National Marine Sanctuary South Bay
## 2 6 23 8
## 3 0 0 0
## 4 0 0 0
## 5 0 0 0
## 6 0 0 0
## conc.combined.upper.95 conc.combined.upper.95.1 conc.combined.upper.95.2
## 1 Central Bay general Lower South Bay
## 2 9 7 6
## 3 3 0 0
## 4 1 0 0
## 5 1 0 0
## 6 0 0 0
## conc.combined.upper.95.3 conc.combined.upper.95.4
## 1 National Marine Sanctuary South Bay
## 2 23 8
## 3 0 0
## 4 0 0
## 5 0 0
## 6 0 06.0.2.3.2.2 EXPORT EXCEEDANCES
write.csv(sensitivity.analysis.manta.location.oxidative ,
"output/data/sensitivity.analysis.manta.location.oxidative.csv"
)6.0.2.3.3 Manta vs. Grab
#ECDF by System
sfBayECDF_sensitivity_grab_manta <- sensitivity %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
filter(particle.L.master > 0) %>%
#just select concentrations
#dplyr::select(c(Conc, conc.plus1, conc.plus2, conc.plus3, conc.minus1, conc.minus2, conc.minus3)) %>%
#make long data
# pivot_longer(everything()) %>%
#mutate(name = as.factor(name)) %>%
ggplot() +
# stat_ecdf(aes(x = value, color = name),
# geom = "point", size = 1, alpha = 0.5) +
stat_ecdf(aes(x = Conc, color = Sampling.apparatus),geom = "step", linetype = 'solid', alpha = 0.7, size = 2.5) +
#color
# scale_color_manual(name = "Alignment Uncertanties",
# values = c("Conc" = "#e8ffff",
# "conc.minus1" = "#bfe6ff",
# "conc.plus1" = "#bfe6ff",
# "conc.minus2" = "#8cd3ff",
# "conc.plus2" = "#8cd3ff",
# "conc.minus3" = "#009dff",
# "conc.plus3" = "#009dff"),
# labels = c("Mean",
# "68th Percentile",
# "68th Percentile",
# "95th Percentile",
# "95th Percentile",
# "99.7th Percentile",
# "99.7th Percentile")) +
# ##Food Dilution thresholds
geom_vline(xintercept = Threshold1_food, linetype = 'dashed', color = "#66a182", size = 1.3) +
geom_vline(xintercept = Threshold4_food, linetype = 'dashed',
color = "#d1495b",
size = 1.3) +
geom_text(label = "Food Dilution T1", color = "#66a182" , x = Threshold1_food, y = 0.15, size = 6)+
geom_text(label = "Food Dilution T4", color = "#d1495b",
x = Threshold4_food,
y = 0.25, size = 6)+
###Oxidative Stress thresholds
geom_vline(xintercept = Threshold1_oxidative.stress, linetype = 'dashed',
color = "#66a182",#"#00798c",
size = 1.3) +
geom_vline(xintercept = Threshold4_oxidative.stress, linetype = 'dashed',
color = "#d1495b",
size = 1.3) +
geom_text(label = "Oxidative Stress T1", color = "#66a182",#'#edae49',
x = Threshold1_oxidative.stress - 0.8 * Threshold1_oxidative.stress,
y = 0.45, size = 6) +
geom_text(label = "Oxidative Stress T4", color = "#d1495b", x =
Threshold4_oxidative.stress - 0.8 * Threshold4_oxidative.stress,
y = 0.55, size = 6)+
ylab("Cumulative Density") +
xlab("Particles/L") +
#xlab(paste0("Particles/L (" ,x1D_set, " to ", x2D_set, "um)"))+
scale_y_continuous(labels = scales::percent)+
coord_trans(x = "log10") +
scale_x_continuous(breaks = scales::trans_breaks("log10", function(x) 10^x),labels = comma_signif)+
#annotation_logticks(sides = "b")+ #log scale rick marks on bottom
theme.type #+
# theme(legend.title = element_blank(),
# legend.position = "none")
#labs(title = "Global Surface Water Marine Microplastics Concentrations",
# subtitle = paste("Particles/L corrected to:",x1D_set, "to", x2D_set, "um"),
# caption = paste("Concentration data from Adams et al (2019): 23 studies, 57 sampling locations, n = 377; corrected for size ranges. Alpha = ",alpha))
sfBayECDF_sensitivity_grab_manta
##### Wet Vs Dry
#ECDF by System
sfBayECDF_wetDry <- sfBay_new %>%
filter(!str_detect(sampleID, "DUP")) %>%
filter(!str_detect(sampleID, "blank")) %>%
# remove non-bay samples
filter(!locationNew %in% c("National Marine Sanctuary")) %>%
filter(source == "SFEI") %>%
filter(particle.L.master > 0) %>%
filter(sample.matrix.specific == "surface water",
Sampling.apparatus == "Manta Trawl"
) %>%
#ggplot(aes(color = interaction(season, Sampling.apparatus, sep = "-"))) +
ggplot(aes(color = season)) +
#aligned
stat_ecdf(aes(x = particle.L.master.50),geom = "step", linetype = 'solid', alpha = 0.7, size = 2.5) +
#unaligned
#stat_ecdf(aes(x = unaligned.particle.L.master),geom = "step", linetype = 'solid', alpha = 0.2, size = 2.5) +
#color
scale_color_manual(values = hcl(h = c(65,245),c = 100, l = 65)) +
geom_vline(xintercept = Threshold1_food, linetype = 'dashed', color = "#85a17d", size = 1) +
geom_text(label = "Threshold One", color = "#85a17d" , x = Threshold1_food, y = 0.10, size = 6)+
geom_vline(xintercept = Threshold2_food, linetype = 'dashed', color = "#ebbb38", size = 1) +
geom_text(label = "Threshold Two", color = "#ebbb38" , x = Threshold2_food, y = 0.20, size = 6)+
geom_vline(xintercept = Threshold3_food, linetype = 'dashed', color = "#fd8060", size = 1) +
geom_text(label = "Threshold Three", color = "#fd8060" , x = Threshold3_food, y = 0.30, size = 6)+
geom_vline(xintercept = Threshold4_food, linetype = 'dashed', color = "#E84258", size = 1) +
geom_text(label = "Threshold Four", color = "#E84258", x = Threshold4_food, y = 0.40, size = 6)+
#Aesthetics
ylab("Cumulative Density") +
labs(color = "Season") +
xlab("Particles/L (1 to 5,000 µm)") +
#xlab(paste0("Particles/L (" ,x1D_set, " to ", x2D_set, "um)"))+
scale_y_continuous(labels = scales::percent)+
coord_trans(x = "log10") +
scale_x_continuous(breaks = scales::trans_breaks("log10", function(x) 10^x),labels = comma_signif,
limits = c(0.001, 100))+
#annotation_logticks(sides = "b")+ #log scale rick marks on bottom
theme.type +
theme(legend.position = c(0.2, 0.6),
legend.background = element_rect(fill = "white", color = "black"),
legend.text = element_text(size = 18))
sfBayECDF_wetDry
ggsave(plot = sfBayECDF_wetDry,
filename = "sfBayECDF_wetDry.jpeg",
path = "output/figures/",
width = 10, height = 6, units = "in",
bg = "white",
dpi = 300)sensitivity.analysis.manta_season <- sfBay_aligned %>%
# remove non-bay samples
filter(!locationNew %in% c("National Marine Sanctuary")) %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
#just select concentrations
dplyr::select(c(particle.L.master.50,
particle.L.master.05,
particle.L.master.95,
particle.L.master.25,
particle.L.master.75,
season
)) %>%
#make long data
pivot_longer(cols = starts_with("particle"),
names_to = "confidence",
values_to = "conc") %>%
#mutate(alignment = factor(alignment)) %>%
group_by(season, confidence) %>%
summarize(n = n(),
belowThreshold1 = sum(conc < Threshold1_food),
aboveThreshold1 = sum(conc > Threshold1_food),
aboveThreshold2 = sum(conc > Threshold2_food),
aboveThreshold3 = sum(conc > Threshold3_food),
aboveThreshold4 = sum(conc > Threshold4_food)) %>%
#percentages
mutate(belowThreshold1_percent = belowThreshold1 / n,
aboveThreshold2_percent = aboveThreshold2 / n,
aboveThreshold3_percent = aboveThreshold3 / n,
aboveThreshold4_percent = aboveThreshold4 / n)
write.csv(sensitivity.analysis.manta_season,
"output/data/sensitivity_analysis_manta_season.csv")
sensitivity.analysis.manta_season## # A tibble: 10 x 12
## # Groups: season [2]
## season confidence n belowThreshold1 aboveThreshold1 aboveThreshold2
## <fct> <chr> <int> <int> <int> <int>
## 1 dry particle.L.mast~ 17 15 2 0
## 2 dry particle.L.mast~ 17 12 5 0
## 3 dry particle.L.mast~ 17 8 9 2
## 4 dry particle.L.mast~ 17 2 15 5
## 5 dry particle.L.mast~ 17 0 17 10
## 6 wet particle.L.mast~ 17 13 4 1
## 7 wet particle.L.mast~ 17 7 10 2
## 8 wet particle.L.mast~ 17 2 15 5
## 9 wet particle.L.mast~ 17 0 17 8
## 10 wet particle.L.mast~ 17 0 17 15
## # ... with 6 more variables: aboveThreshold3 <int>, aboveThreshold4 <int>,
## # belowThreshold1_percent <dbl>, aboveThreshold2_percent <dbl>,
## # aboveThreshold3_percent <dbl>, aboveThreshold4_percent <dbl>6.1 Comparison to other studies
sfBay_aligned %>%
# remove non-bay samples
filter(!locationNew %in% c("National Marine Sanctuary")) %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
#just select concentrations
dplyr::select(c(particle.L.master.50,
particle.L.master.05,
particle.L.master.95,
particle.L.master.25,
particle.L.master.75,
season
)) %>%
#make long data
pivot_longer(cols = starts_with("particle"),
names_to = "confidence",
values_to = "conc") %>%
#mutate(alignment = factor(alignment)) %>%
group_by(confidence) %>%
summarize(n = n(),
above50 = sum(conc > 50), #values from Everaert et al (2020)
above0.255 = sum(conc > 0.255),
above56 = sum(conc > 56),
above1e6 = sum(conc > 1E-6),
above0.0679 = sum(conc > 0.0679)) %>%
mutate(above50_percent = above50 / n,
above0.255_percent = above0.255 / n,
above56_percent = above56 / n,
above1e6_percent = above1e6 / n,
above0.0679_percent = above0.0679 / n) ## # A tibble: 5 x 12
## confidence n above50 above0.255 above56 above1e6 above0.0679
## <chr> <int> <int> <int> <int> <int> <int>
## 1 particle.L.master.05 34 0 7 0 34 18
## 2 particle.L.master.25 34 0 19 0 34 29
## 3 particle.L.master.50 34 1 26 1 34 33
## 4 particle.L.master.75 34 1 33 1 34 34
## 5 particle.L.master.95 34 5 34 3 34 34
## # ... with 5 more variables: above50_percent <dbl>, above0.255_percent <dbl>,
## # above56_percent <dbl>, above1e6_percent <dbl>, above0.0679_percent <dbl>6.2 No Fiber Correction
#ECDF by System
sfBayECDF_sensitivity.noFiberCorrection <- sfBay_aligned %>%
# remove non-bay samples
filter(!locationNew %in% c("National Marine Sanctuary")) %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
filter(particle.L.master > 0) %>%
#just select concentrations
#dplyr::select(c(Conc, conc.combined.upper.95, conc.combined.lower.95)) %>%
dplyr::select(c(particle.L.master.50.noFiberCorrection,
particle.L.master.05.noFiberCorrection,
particle.L.master.95.noFiberCorrection,
particle.L.master.25.noFiberCorrection,
particle.L.master.75.noFiberCorrection)) %>%
#make long data
pivot_longer(everything()) %>%
mutate(name = as.factor(name)) %>%
mutate(percentile = case_when(grepl("50", name) ~ "50th Percentile",
grepl("95", name) ~ "95th Percentile",
grepl("25", name) ~ "25th Percentile",
grepl("05", name) ~ "5th Percentile",
grepl("75", name) ~ "75th Percentile",
name == "Conc" ~ "Mean")) %>%
ggplot() +
# stat_ecdf(aes(x = value, color = name),
# geom = "point", size = 1, alpha = 0.5) +
stat_ecdf(aes(x = value, color = percentile),geom = "step", linetype = 'solid', alpha = 1, size = 1) +
#color
scale_color_manual(name = "Probabilistic Uncertainty",
values = c("5th Percentile" = "#8cd3ff",
"25th Percentile" = "#05619c",
"50th Percentile" = "#012740",
"75th Percentile" = "#05619c",
"95th Percentile" = "#8cd3ff"
),
labels = c("5th Percentile",
"25th Percentile",
"50th Percentile",
"75th Percentile",
"95th Percentile"
)) +
# ##Food Dilution thresholds #
geom_vline(xintercept = Threshold1_food, linetype = 'dashed', color = "#fcc523", size = 1.5) +
geom_text(label = "Threshold One", color = "#fcc523" , x = Threshold1_food, y = 0.10, size = 6)+
geom_vline(xintercept = Threshold2_food, linetype = 'dashed', color = "#bf8345", size = 1.5) +
geom_text(label = "Threshold Two", color = "#bf8345" , x = Threshold2_food, y = 0.20, size = 6)+
geom_vline(xintercept = Threshold3_food, linetype = 'dashed', color = "#e06665", size = 1.5) +
geom_text(label = "Threshold Three", color = "#e06665" , x = Threshold3_food, y = 0.30, size = 6)+
geom_vline(xintercept = Threshold4_food, linetype = 'dashed', color = "#ac5784", size = 1.5) +
geom_text(label = "Threshold Four", color = "#ac5784", x = Threshold4_food, y = 0.40, size = 6)+
ylab("Cumulative Density") +
xlab("Surface Water Particles/L (aligned to 1 to 5,000 µm)") +
#xlab(paste0("Particles/L (" ,x1D_set, " to ", x2D_set, "um)"))+
scale_y_continuous(labels = scales::percent)+
coord_trans(x = "log10") +
scale_x_continuous(#breaks = scales::trans_breaks("log10", function(x) 10^x,n = 10),
breaks = c(0.001, 0.005, 0.01, 0.05, 0.1, 0.5, 1, 5, 10, 50, 100),
labels = comma_signif,
limits = c(1e-3,100))+
annotation_logticks(scaled = FALSE)+ #log scale rick marks on bottom
theme.type +
theme(legend.title = element_blank(),
legend.position = c(0.1,0.6),
legend.key.size = unit(0.6, 'cm'))
sfBayECDF_sensitivity.noFiberCorrection
sensitivity.analysis.manta_inter.noFiberCorrection <- sfBay_aligned %>%
# remove non-bay samples
filter(!locationNew %in% c("National Marine Sanctuary")) %>%
filter(source == "SFEI") %>%
filter(sample.matrix.specific == "surface water") %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
#just select concentrations
dplyr::select(c(particle.L.master.50.noFiberCorrection,
particle.L.master.05.noFiberCorrection,
particle.L.master.95.noFiberCorrection,
particle.L.master.25.noFiberCorrection,
particle.L.master.75.noFiberCorrection
)) %>%
#make long data
pivot_longer(everything(),names_to = "alignment", values_to = "conc") %>%
#mutate(alignment = factor(alignment)) %>%
group_by(alignment) %>%
summarize(n = n(),
belowThreshold1 = sum(conc < Threshold1_food),
aboveThreshold1 = sum(conc > Threshold1_food),
aboveThreshold2 = sum(conc > Threshold2_food),
aboveThreshold3 = sum(conc > Threshold3_food),
aboveThreshold4 = sum(conc > Threshold4_food))
#transpose
t_sensitivity.analysis.manta.noFiberCorrection <- data.table::transpose(sensitivity.analysis.manta_inter.noFiberCorrection)
# get row and colnames in order
colnames(t_sensitivity.analysis.manta.noFiberCorrection) <- rownames(sensitivity.analysis.manta_inter.noFiberCorrection)
rownames(t_sensitivity.analysis.manta.noFiberCorrection) <- colnames(sensitivity.analysis.manta_inter.noFiberCorrection)
t_2.noFiberCorrection <- t_sensitivity.analysis.manta.noFiberCorrection %>% janitor::row_to_names(row_number = 1)
rownames(t_2.noFiberCorrection) <- colnames(sensitivity.analysis.manta_inter.noFiberCorrection[-1])
sensitivity.analysis.manta_t2.noFiberCorrection <- t_2.noFiberCorrection %>% tibble::rownames_to_column("aboveThreshold")
sensitivity.analysis.manta.noFiberCorrection <- sensitivity.analysis.manta_t2.noFiberCorrection %>%
filter(!aboveThreshold == "n") %>%
mutate_at(c(2:6), as.numeric) %>%
mutate(particle.L.master.05.percent = particle.L.master.05.noFiberCorrection / manta.count[1,],
particle.L.master.25.percent = particle.L.master.25.noFiberCorrection / manta.count[1,],
particle.L.master.50.percent = particle.L.master.50.noFiberCorrection / manta.count[1,],
particle.L.master.75.percent = particle.L.master.75.noFiberCorrection / manta.count[1,],
particle.L.master.95.percent = particle.L.master.95.noFiberCorrection / manta.count[1,])
sensitivity.analysis.manta.noFiberCorrection## aboveThreshold particle.L.master.05.noFiberCorrection
## 1 belowThreshold1 33
## 2 aboveThreshold1 1
## 3 aboveThreshold2 0
## 4 aboveThreshold3 0
## 5 aboveThreshold4 0
## particle.L.master.25.noFiberCorrection particle.L.master.50.noFiberCorrection
## 1 31 27
## 2 3 7
## 3 1 1
## 4 1 1
## 5 0 0
## particle.L.master.75.noFiberCorrection particle.L.master.95.noFiberCorrection
## 1 24 14
## 2 10 20
## 3 1 3
## 4 1 2
## 5 0 1
## particle.L.master.05.percent particle.L.master.25.percent
## 1 1.00000000 0.93939394
## 2 0.03030303 0.09090909
## 3 0.00000000 0.03030303
## 4 0.00000000 0.03030303
## 5 0.00000000 0.00000000
## particle.L.master.50.percent particle.L.master.75.percent
## 1 0.81818182 0.72727273
## 2 0.21212121 0.30303030
## 3 0.03030303 0.03030303
## 4 0.03030303 0.03030303
## 5 0.00000000 0.00000000
## particle.L.master.95.percent
## 1 0.42424242
## 2 0.60606061
## 3 0.09090909
## 4 0.06060606
## 5 0.030303036.2.0.0.1 Bar Plots
barplot.noFiberCorrection <- sensitivity.analysis.manta.noFiberCorrection %>%
# replace_na(list(rel.freq_Conc = 0,
# rel.freq_conc.lower.95 = 0,
# rel.freq_conc.upper.95 = 0)) %>%
mutate(frequency = as.numeric(particle.L.master.50.percent)) %>%
mutate(frequency_lower = as.numeric(particle.L.master.05.percent)) %>%
mutate(frequency.25 = as.numeric(particle.L.master.25.percent)) %>%
mutate(frequency.75 = as.numeric(particle.L.master.75.percent)) %>%
mutate(frequency_upper = as.numeric(particle.L.master.95.percent)) %>%
mutate(threshold = case_when(aboveThreshold == "belowThreshold1" ~ "< Threshold One",
aboveThreshold == "aboveThreshold1" ~ "> Threshold One",
aboveThreshold == "aboveThreshold2" ~ "> Threshold Two",
aboveThreshold == "aboveThreshold3" ~ "> Threshold Three",
aboveThreshold == "aboveThreshold4" ~ "> Threshold Four")) %>%
ggplot(aes(x = factor(threshold, level = c("< Threshold One",
"> Threshold One",
"> Threshold Two",
"> Threshold Three",
"> Threshold Four")))) +
geom_col(aes(y = frequency, fill = threshold)) +
#95th
geom_errorbar(aes(ymin = frequency_lower, ymax = frequency_upper),
linetype = "dashed", width = 1.0, alpha = 0.7) +
#25th and 75th percetnile
geom_errorbar(aes(ymin = frequency.25, ymax = frequency.75),
linetype = "solid", width = 0.5, alpha = 1) +
scale_y_continuous(limits = c(0,1),
labels = scales::percent) +
scale_fill_manual(values = c("< Threshold One" = "#b6d7a8", #green
"> Threshold One" = "#fcc523", #yellow
"> Threshold Two" = "#bf8345", #orange
"> Threshold Three" = "#e06665", # red
"> Threshold Four" = "#ac5784" #purple
)) +
coord_flip() +
ylab("Percentage of Samples Exceeding Threshold") +
theme.type +
theme(axis.title.y = element_blank(),
axis.text.y = element_text(color = c("#90ab85", #green
"#fcc523", #yellow
"#bf8345", #orange
"#e06665", # red
"#ac5784" #purple
),
face = "bold",
size = 18),
legend.position = "none"
)
barplot.noFiberCorrection
6.2.0.0.1.1 ARRANGE
bar_cdf.noFiberCorrection <- ggarrange(barplot.noFiberCorrection, sfBayECDF_sensitivity.noFiberCorrection,
nrow = 2,
labels = c("A", "B"))
bar_cdf.noFiberCorrection
ggsave(plot = bar_cdf.noFiberCorrection,
filename = "bar_cdf_noFiberCorrection.jpeg",
path = "output/figures/",
width = 10, height = , units = "in",
bg = "white",
dpi = 300)6.2.1 Risk Characterization Histogram (SFBay)
#generate plot
dfSFEI_exceedance %>%
# filter(Conc > 0) %>%
filter(Sample.Type == "sample") %>%
ggplot(aes(x = Conc, fill = aboveThreshold))+
geom_histogram(aes(y = ..count../sum(..count..)),bins = 38, alpha = 0.9, position = "identity") +
#geom_text(aes(x = Threshold1- 0.5*Threshold1, y = 0.045), label = paste(Threshold1,"particles/L"), color = "goldenrod2") +
#geom_text(aes(x = Threshold1- 0.5*Threshold1, y = 0.055), label = ("Threshold1"), color = "goldenrod2") +
geom_vline(xintercept = Threshold1, linetype = 'dashed', color = 'goldenrod2', size = 1.3) +
geom_vline(xintercept = Threshold2, linetype = 'dashed', color = 'tomato1', size = 1.3) +
geom_vline(xintercept = Threshold3, linetype = 'dashed', color = 'mediumvioletred', size = 1.3) +
geom_vline(xintercept = Threshold4, linetype = 'dashed', color = 'gray33', size = 1.3) +
#geom_text(label = "Threshold 1", color = 'goldenrod2', x = log10(Threshold1) - 0.8*log10(Threshold1), y = 0.055, size = 6)+
# geom_text(label = "Threshold 2", color = 'tomato1', x = log10(Threshold2) - 0.8*log10(Threshold2), y = 0.055, size = 6)+
# geom_text(label = "Threshold 3", color = 'mediumvioletred', x = log10(Threshold3) - 0.8*log10(Threshold3), y = 0.055, size = 6)+
# geom_text(label = "Threshold 4", color = 'gray33', x = Threshold4 - 0.8*log10(Threshold4), y = 0.055, size = 6)+
scale_x_continuous(breaks = scales::trans_breaks("log10", function(x) 10^x),labels = comma_signif, trans = "log10")+
annotation_logticks(sides = "b")+ #log scale rick marks on bottom
#coord_cartesian(xlim = c(0,100000000)) +
#scale_x_continuous(labels = scales::scientific) +
xlab(paste0("Particles/L (" ,x1D_set, " to ", x2D_set, "μm)")) +
scale_y_continuous(name = "Relative Density", labels = scales::percent)+
scale_fill_manual(values = c("below Threshold 1"= "cyan3",
"above Threshold 1" = "goldenrod2",
"above Threshold 2" = "tomato1",
"above Threshold 3" = "violetred4",
"above Threshold 4" = "gray33")) +
labs(title = "San Francisco Bay Surface Water Marine Microplastics Concentrations",
subtitle = paste("Particles/L corrected to:",x1D_set, "to", x2D_set, "um"),
caption = paste("n = 107; corrected for size, blanks. Alpha = ",alpha.marine))+
theme.type +
theme(#legend.position = "none",
plot.title = element_text(hjust = 0.5, size = 20),
axis.title = element_text(size = 16),
axis.text = element_text(size = 16),
legend.text = element_text(size =14),
legend.title = element_blank(),
plot.subtitle = element_text(hjust = 0.5, size = 14))
### ECDF (SF Bay) ##### All: Aligned vs. Unaligned
vals <- c("Unaligned" = "black", "Aligned" = "deepskyblue")
#ECDF by System
sfBayECDF <- sfBay_new %>%
# remove non-bay samples
filter(!locationNew %in% c("National Marine Sanctuary")) %>%
filter(source == "SFEI") %>%
drop_na(particle.L.master) %>%
filter(particle.L.master > 0.0) %>%
filter(System %in% c("Ocean", "Estuary")) %>%
ggplot() +
#unaligned
stat_ecdf(aes(x = unaligned.particle.L.master, color = "Unaligned"),
geom = "point", size = 1, alpha = 0.5) +
stat_ecdf(aes(x = unaligned.particle.L.master, color = "Unaligned"),geom = "step", linetype = 'solid', alpha = 0.3, size = 1) +
#aligned
stat_ecdf(aes(x = particle.L.master.50, color = "Aligned"),
geom = "point", size = 1, alpha = 0.5) +
stat_ecdf(aes(x = particle.L.master.50, color = "Aligned"),geom = "step", linetype = 'solid', alpha = 0.3, size = 1) +
#color
scale_color_manual(name = "alignment",
values = vals) +
# ##Food Dilution thresholds
geom_vline(xintercept = Threshold1_food, linetype = 'dashed', color = "#66a182", size = 1.3) +
#geom_vline(xintercept = Threshold2, linetype = 'dashed', color = "#66a182" , size = 1.3) +
#geom_vline(xintercept = Threshold3, linetype = 'dashed', color = '#edae49', size = 1.3) +
geom_vline(xintercept = Threshold4_food, linetype = 'dashed',
color = "#d1495b",
size = 1.3) +
geom_text(label = "Food Dilution T1", color = "#66a182" , x = Threshold1_food, y = 0.15, size = 6)+
# geom_text(label = "Threshold 2", color = "#66a182" , x = Threshold2, y = 0.22, size = 6)+
#geom_text(label = "Threshold 3", color = '#edae49', x = Threshold3, y = 0.35, size = 6)+
geom_text(label = "Food Dilution T4", color = "#d1495b",
x = Threshold4_food,
y = 0.25, size = 6)+
###Oxidative Stress thresholds
geom_vline(xintercept = Threshold1_oxidative.stress, linetype = 'dashed',
color = "#66a182",#"#00798c",
size = 1.3) +
geom_vline(xintercept = Threshold4_oxidative.stress, linetype = 'dashed',
color = "#d1495b",
size = 1.3) +
geom_text(label = "Oxidative Stress T1", color = "#66a182",#'#edae49',
x = Threshold1_oxidative.stress - 0.8 * Threshold1_oxidative.stress,
y = 0.45, size = 6) +
geom_text(label = "Oxidative Stress T4", color = "#d1495b", x =
Threshold4_oxidative.stress - 0.8 * Threshold4_oxidative.stress,
y = 0.55, size = 6)+
ylab("Cumulative Density") +
xlab("Particles/L") +
#xlab(paste0("Particles/L (" ,x1D_set, " to ", x2D_set, "um)"))+
scale_y_continuous(labels = scales::percent)+
coord_trans(x = "log10") +
scale_x_continuous(breaks = scales::trans_breaks("log10", function(x) 10^x),labels = comma_signif)+
#annotation_logticks(sides = "b")+ #log scale rick marks on bottom
theme.type +
theme(legend.title = element_blank(),
legend.position = c(0.2,0.8),
legend.text = element_text(size = 12, face = "bold"),
legend.background = element_rect(fill = "white", color = "black"),
legend.key.size = unit(1.3, 'cm'))
#labs(title = "Global Surface Water Marine Microplastics Concentrations",
# subtitle = paste("Particles/L corrected to:",x1D_set, "to", x2D_set, "um"),
# caption = paste("Concentration data from Adams et al (2019): 23 studies, 57 sampling locations, n = 377; corrected for size ranges. Alpha = ",alpha))
sfBayECDF
ggsave(plot =sfBayECDF,
filename = "sfBayECDF.jpeg",
path = "output/figures/",
width = 10, height = 6, units = "in",
bg = "white",
dpi = 300)6.2.1.0.1 Sampling Technique x Alignment
# need to pivot wide data into long format to easily plot
sfBayECDF_alignedXtechnique <- sfBay_new %>%
filter(source == "SFEI") %>%
filter(particle.L.master > 0) %>%
filter(sample.matrix.specific == "surface water") %>%
dplyr::select(c(sampleID, unaligned.particle.L.master, particle.L.master, Sampling.apparatus)) %>%
pivot_longer(-c(sampleID, Sampling.apparatus), names_to = "alignment", values_to = "concentration") %>%
#rename for easy plotting
mutate(alignment_pretty = case_when(alignment == "particle.L.master" ~ "Aligned",
alignment == "unaligned.particle.L.master" ~ "Unaligned")) %>%
## PLOTTING ##
ggplot(aes(x = concentration, color = interaction(Sampling.apparatus, alignment_pretty, sep = " x "))) +
#aligned
stat_ecdf(geom = "step", linetype = 'solid', size = 1) +
#unaligned
#color
scale_color_manual(values = hcl(c(15,195,15,195),100,65, alpha=c(1,1, 0.3,0.3))) +
#scale_alpha_manual(name = "alignment",
# values = c(0.2,1)) +
# ##Food Dilution thresholds
geom_vline(xintercept = Threshold1_food, linetype = 'dashed', color = "#85a17d", size = 1) +
geom_text(label = "Food Dilution T1", color = "#85a17d" , x = Threshold1_food, y = 0.10, size = 5)+
geom_vline(xintercept = Threshold2_food, linetype = 'dashed', color = "#ebbb38", size = 1) +
geom_text(label = "Food Dilution T2", color = "#ebbb38" , x = Threshold2_food, y = 0.15, size = 5)+
geom_vline(xintercept = Threshold3_food, linetype = 'dashed', color = "#fd8060", size = 1) +
geom_text(label = "Food Dilution T3", color = "#fd8060" , x = Threshold3_food, y = 0.20, size = 5)+
geom_vline(xintercept = Threshold4_food, linetype = 'dashed', color = "#E84258", size = 1) +
geom_text(label = "Food Dilution T4", color = "#E84258", x = Threshold4_food, y = 0.25, size = 5)+
#aesthetics
ylab("Cumulative Density") +
labs(color = "Sampling technique x Alignment") +
xlab("Particles/L") +
#xlab(paste0("Particles/L (" ,x1D_set, " to ", x2D_set, "um)"))+
scale_y_continuous(labels = scales::percent)+
coord_trans(x = "log10") +
scale_x_continuous(breaks = scales::trans_breaks("log10", function(x) 10^x),labels = comma_signif)+
#annotation_logticks(sides = "b")+ #log scale rick marks on bottom
theme.type +
theme(legend.position = "bottom")
#labs(title = "Global Surface Water Marine Microplastics Concentrations",
# subtitle = paste("Particles/L corrected to:",x1D_set, "to", x2D_set, "um"),
# caption = paste("Concentration data from Adams et al (2019): 23 studies, 57 sampling locations, n = 377; corrected for size ranges. Alpha = ",alpha))
sfBayECDF_alignedXtechnique
ggsave(plot = sfBayECDF_alignedXtechnique,
filename = "sfBayECDF_alignedXtechnique.jpeg",
path = "output/figures/",
width = 10, height = 6, units = "in",
scale = 1.2,
bg = "white",
dpi = 300)#Compare fish concentrations and ambient Two-Way ANOVA needed!!
#group by location name and compare averages/sds by ambient and fish
all_data <- sfBay_aligned %>%
filter(!Sampling.apparatus == "1-L grab") %>%
mutate(particles.any = case_when(
sample.matrix == "water" ~ particle.L.master,
sample.matrix == "fish" ~ particle.fish.master,
sample.matrix == "sediment" ~ particles.kg.master
))
all_data_summary <- all_data %>%
group_by(Sampling.location, sample.matrix) %>%
summarize(mean = mean(particles.any),
sd = sd(particles.any),
n = n())
all_data_summary %>%
drop_na() %>%
ggplot(aes(x = Sampling.location,y = mean, color = sample.matrix))+
geom_point() +
scale_y_log10()
##
ANOVA <- aov(data = all_data, particles.any ~ sample.matrix * Sampling.location)
anova_table <- summary(ANOVA)
anova_table
new <- all_data %>% filter(Sampling.location %in% c("South Bay", "Lower South Bay", "Central Bay"))
# library(apaTables)
# apa.aov.table(dv = particles.any,
# iv1 = sample.matrix,
# iv2 = Sampling.location,
# data = new,
# filename = "output/ANOVA.doc",
# # show.marginal.means = TRUE
# )6.3 Boxplots by matrix
violin_matrix <- all_data %>%
drop_na(Sampling.location) %>%
filter(!Sampling.apparatus == "1-L grab") %>%
filter(Sampling.location %in% c("South Bay", "Lower South Bay", "Central Bay")) %>%
mutate(location = fct_reorder(Sampling.location, desc(particles.any))) %>%
ggplot(aes(y = location, x = particles.any, fill = sample.matrix)) +
geom_violin(position = "identity", trim = FALSE) +
geom_boxplot(width=0.1, color = "white", position = "identity") +
scale_fill_futurama(name = "Sample Matrix",
labels = c("Fish (particles/fish)",
"Sediment (particles/kg)",
"Surface Water (particles/L)")) +
scale_x_log10(name = "Aligned Particle Concentrations (matrix-dependent)",
breaks = scales::trans_breaks("log10", function(x) 10^x),
labels = scales::trans_format("log10", scales::math_format(10^.x))) +
theme.type +
theme(legend.position = "bottom",
axis.title.y = element_blank())
ggsave(plot = violin_matrix,
filename = "violin_matrix.jpeg",
path = "output/figures/",
width = 11, height = 9, units = "in",
bg = "white",
dpi = 300)
violin_matrix
sfBay_aligned %>%
filter(!sampleID == "CB9 Jan 11 Total") %>%
filter(!Sampling.apparatus == "1-L grab") %>%
mutate(scaled.particle.L.master = scale(particle.L.master),
scaled.fish.master = scale(particle.fish.master),
scaled.particles.kg.master = scale(particles.kg.master)) %>%
mutate(particles.any.scaled = case_when(
sample.matrix == "water" ~ scaled.particle.L.master,
sample.matrix == "fish" ~ scaled.fish.master,
sample.matrix == "sediment" ~ scaled.particles.kg.master
)) %>%
drop_na(Sampling.location) %>%
ggplot(aes(y = particles.any.scaled, x = Sampling.location, color = sample.matrix)) +
geom_boxplot() +
#scale_y_log10()+
theme.type 
7 Map
7.1 Libraries
# code as we would normally do in R script
library(sf)
library(readr)
library(viridis)
library(USAboundaries)
library(rnaturalearth)
library(GSODR)
library(cowplot)
library(mapview) # interactive maps!
library(ggspatial)
library(basemaps)
library(mapedit)
mapviewOptions(fgb = FALSE)7.2 Basemap
7.3 Data Prep
# get CA county boundary
ca_co <- USAboundaries::us_counties(resolution = "high", states = "CA")
# convert point data
spatial_risk <- sfBay_aligned %>%
filter(!sampleID == "CB9 Jan 11 Total") %>%
filter(Sampling.apparatus == "Manta Trawl") %>%
drop_na(c(particle.L.master.50, latitude, longitude)) %>%
mutate(latitude = case_when(
sampleID == "SPB3 Aug 21" ~ 38.03, #probably a typo...
TRUE ~ as.numeric(as.character(latitude))
)) %>%
mutate(longitude_num = as.numeric(as.character(longitude)),
latitude_num = as.numeric(as.character(latitude))) %>%
drop_na(c(latitude_num, longitude_num)) %>%
droplevels() %>%
st_as_sf(coords = c("longitude_num", "latitude_num"),
crs = 4326) # WGS 84
#inspect
st_crs(spatial_risk)## Coordinate Reference System:
## User input: EPSG:4326
## wkt:
## GEOGCRS["WGS 84",
## DATUM["World Geodetic System 1984",
## ELLIPSOID["WGS 84",6378137,298.257223563,
## LENGTHUNIT["metre",1]]],
## PRIMEM["Greenwich",0,
## ANGLEUNIT["degree",0.0174532925199433]],
## CS[ellipsoidal,2],
## AXIS["geodetic latitude (Lat)",north,
## ORDER[1],
## ANGLEUNIT["degree",0.0174532925199433]],
## AXIS["geodetic longitude (Lon)",east,
## ORDER[2],
## ANGLEUNIT["degree",0.0174532925199433]],
## USAGE[
## SCOPE["Horizontal component of 3D system."],
## AREA["World."],
## BBOX[-90,-180,90,180]],
## ID["EPSG",4326]]st_crs(ca_co) # need to transform to CA Albers## Coordinate Reference System:
## User input: EPSG:4326
## wkt:
## GEOGCRS["WGS 84",
## DATUM["World Geodetic System 1984",
## ELLIPSOID["WGS 84",6378137,298.257223563,
## LENGTHUNIT["metre",1]]],
## PRIMEM["Greenwich",0,
## ANGLEUNIT["degree",0.0174532925199433]],
## CS[ellipsoidal,2],
## AXIS["geodetic latitude (Lat)",north,
## ORDER[1],
## ANGLEUNIT["degree",0.0174532925199433]],
## AXIS["geodetic longitude (Lon)",east,
## ORDER[2],
## ANGLEUNIT["degree",0.0174532925199433]],
## USAGE[
## SCOPE["Horizontal component of 3D system."],
## AREA["World."],
## BBOX[-90,-180,90,180]],
## ID["EPSG",4326]]##Interactive Map
mapping_data <- spatial_risk_thresholds %>%
dplyr::select(c(sampleID,
Sampling.location,
season,
particle.L.master.05,
particle.L.master.50,
particle.L.master.95,
threshold
))
interactive <- mapview(mapping_data, zcol="threshold") # this may take a minute because of duplication
#tmlwidgets::saveWidget(widget = interactive, file = "output/map.html", selfcontained = T)
interactive7.4 Basemap with ggmap
7.5 Ggplot
## assign labels ##
labels <- data.frame(name = c("San \n Francisco \n Bay",
"San \n Pablo \n Bay",
"Drakes \n Bay",
"Gulf \n of the \n Farallones"),
lat = c(37.65, #SF Bay
38.058, #San Pablo Bay
37.987,
37.77 #Gulf of the Farallones
),
long = c(-122.286, #SF Bay
-122.387, #San Pablo Bay
-122.899, #drakes bay
-122.925 #Gulf of the Farallones
))
labels <- labels %>%
st_as_sf(coords = c("long", "lat"),
crs = 4326)# add points
risk_smc <- ggmap(sf_basemap) +
#geom_sf(data = sf)# +
geom_sf(data = #sfBay_aligned,
spatial_risk_thresholds,
aes(#color = threshold,
fill= threshold,
shape = threshold), alpha = 0.65,
size = 4,
inherit.aes = FALSE,
#shape = 21,
color = "gray40") +
coord_sf(crs = st_crs(4326)) +
scale_color_manual(name = "Threshold", values = color_scale) +
scale_fill_manual(name = "Threshold", values = color_scale) +
scale_shape_manual(name = "Threshold", values = shape_scale) +
#add labels for bay
geom_sf_text(aes(label = name),
data = labels,
inherit.aes = FALSE,
color = "gray10",
fontface = "italic") +
annotation_scale(location = "bl") + #add scale
annotation_north_arrow(location = "bl", #north arrow
pad_x = unit(0.5, "in"), pad_y = unit(0.5, "in"), #shift it so it doesn't plot on top of scale bar
style = north_arrow_fancy_orienteering()) + #change style of north arrow
labs(legend = "Threshold") +
xlab("Longitude (NAD83)") +
ylab("Latitude (NAD83)") +
#ggtitle("Microplastics Risk Exceedances in San Francisco Bay") +
theme.type +
theme(
legend.background = element_rect(fill = "white", color = "black"),
legend.position = c(0.85, 0.87),
legend.key.size = unit(0.5, 'cm'))
ggsave(plot = risk_smc,
filename = "risk_smc.jpeg",
path = "output/figures/",
width = 9, height = 8, units = "in",
bg = "white",
dpi = 300)
#plot
risk_smc